CN113065888A

CN113065888A - Method, device and storage medium for recommending business opportunity based on action behavior

Info

Publication number: CN113065888A
Application number: CN202110256926.7A
Authority: CN
Inventors: 朱其胜
Original assignee: Beijing Arc Information Technology Co ltd
Current assignee: Beijing Arc Information Technology Co ltd
Priority date: 2021-03-09
Filing date: 2021-03-09
Publication date: 2021-07-02
Anticipated expiration: 2041-03-09
Also published as: CN113065888B

Abstract

The application discloses a method and a device for recommending business opportunities based on action behaviors and a storage medium. Wherein, the method comprises the following steps: monitoring the issued action instance, and determining behavior data corresponding to an adding party of the action instance, wherein the action instance is preset with a behavior associated with the action instance and a label associated with the behavior, and the behavior data is used for indicating a behavior generated by the adding party in the process of adding the action instance; determining tag data corresponding to the participant according to the behavior data, wherein the tag data is used for indicating tags associated with behaviors generated by the participant in the process of participating in the action instance; and judging whether the participating party is a target user with business opportunity or not according to a preset integration rule and the label data, wherein the preset integration rule is used for indicating that different labels correspond to different integration values.

Description

Method, device and storage medium for recommending business opportunity based on action behavior

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, and a storage medium for recommending business opportunities based on actions.

Background

The system realizes the automation of activities such as marketing, sales, service and the like by utilizing an information science technology, and is a management and operation mode which can more efficiently provide satisfactory and thoughtful service for customers by enterprises and aims at improving the customer satisfaction and loyalty. And leading the collected customer data into the MIC system by company personnel, screening out customers with sales opportunities, further contacting the customers with sales opportunities, and acquiring people with obvious sales intentions so as to obtain business opportunities in the MIC system. Generally, there are many business opportunities in MIC systems. The process in which the company staff manually screens out the target customers and the requirements of the target customers and then pushes the screened requirements to the sales staff is called a business opportunity recommendation process. The existing recommendation mode sets different business opportunity pushing rules based on business logic and experience so as to push corresponding business opportunities to users under different scenes. However, the existing business opportunity recommendation mode mainly has the following problems: the mining mode of the target user is mainly that manpower is used for mining through certain rules and experiences, time and labor are consumed, the coverage of the user is limited, and most potential target users can be lost. Moreover, the business manner of the target user is mainly recommended by manpower through certain rules and experiences, the recommended business types are single, the prediction accuracy is low, and the conversion rate of the salespersons is low.

Aiming at the technical problems that the business opportunity recommendation method in the prior art mainly adopts manpower to recommend according to certain rules and experiences, and the efficiency and the accuracy are low, an effective solution is not provided at present.

Disclosure of Invention

The embodiment of the disclosure provides a method, a device and a storage medium for recommending business based on action behaviors, so as to at least solve the technical problems that in the prior art, the business recommendation method mainly adopts manpower to recommend through certain rules and experience, and the efficiency and the accuracy are low.

According to an aspect of an embodiment of the present disclosure, there is provided a method for recommending business opportunities based on action behaviors, including: monitoring the issued action instance, and determining behavior data corresponding to the participating party of the action instance, wherein the action instance is preset with a behavior associated with the action instance and a tag associated with the behavior, and the behavior data is used for indicating the behavior generated by the participating party in the process of participating in the action instance; determining tag data corresponding to the participant based on the behavior data, wherein the tag data is indicative of tags associated with behaviors of the participant that occur during participation in the action instance; and judging whether the participating party is a target user with business opportunity or not according to preset integration rules and label data, wherein the preset integration rules are used for indicating that different labels correspond to different integration values.

According to another aspect of the embodiments of the present disclosure, there is also provided a storage medium including a stored program, wherein the method of any one of the above is performed by a processor when the program is executed.

According to another aspect of the embodiments of the present disclosure, there is also provided an apparatus for recommending business opportunities based on action behaviors, including: monitoring the issued action instance, and determining behavior data corresponding to the participating party of the action instance, wherein the action instance is preset with a behavior associated with the action instance and a tag associated with the behavior, and the behavior data is used for indicating the behavior generated by the participating party in the process of participating in the action instance; determining tag data corresponding to the participant based on the behavior data, wherein the tag data is indicative of tags associated with behaviors of the participant that occur during participation in the action instance; and judging whether the participating party is a target user with business opportunity or not according to preset integration rules and label data, wherein the preset integration rules are used for indicating that different labels correspond to different integration values.

According to another aspect of the embodiments of the present disclosure, there is also provided an apparatus for recommending business opportunities based on action behaviors, including: a processor; and a memory coupled to the processor for providing instructions to the processor for processing the following processing steps: monitoring the issued action instance, and determining behavior data corresponding to the participating party of the action instance, wherein the action instance is preset with a behavior associated with the action instance and a tag associated with the behavior, and the behavior data is used for indicating the behavior generated by the participating party in the process of participating in the action instance; determining tag data corresponding to the participant based on the behavior data, wherein the tag data is indicative of tags associated with behaviors of the participant that occur during participation in the action instance; and judging whether the participating party is a target user with business opportunity or not according to preset integration rules and label data, wherein the preset integration rules are used for indicating that different labels correspond to different integration values.

In the embodiment of the disclosure, a system user can create an action instance in the system, and after setting the action associated with the action instance and the tag associated with the action, the action instance is published in the business opportunity recommendation system. The guest consults the published action instance and participates in the action instance to become a participant of the action instance. At this time, the business opportunity recommendation system needs to monitor the published action instance so as to determine the behavior data corresponding to the participants of the action instance. Wherein the behavior data is indicative of respective behaviors of the participating parties that are generated during participation in the action instance. And then, the business opportunity recommendation system determines label data corresponding to the participating party according to the behavior data. Wherein the tag data is used to indicate tags associated with actions generated by the participant in the course of engaging in the action instance. Because the business opportunity recommendation system is preset with the integral rule for indicating different integral values corresponding to different labels, the business opportunity recommendation system can judge whether the participating party is a target user with business opportunity according to the preset integral rule and label data. For example: the business opportunity recommendation system can determine the business opportunity integral value corresponding to the participating party according to the label corresponding to the participating party, and finally judge whether the participating party is the target user with business opportunity according to the business opportunity integral value. Therefore, in this way, an enterprise can interface the platform with the system, create a marketing strategy (namely, create actions, create action instances and set associated action behaviors and labels), clearly master user group behaviors, pictures and labels of all actions, screen and select preferred business users through intelligent cloud computing, and discover potential high-quality customers, so that the goal of business recommendation with high efficiency and high accuracy is achieved. Further, the technical problems that the business opportunity recommendation method in the prior art mainly carries out recommendation on manpower through certain rules and experiences, and is low in efficiency and accuracy are solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:

fig. 1 is a hardware block diagram of a computing device for implementing the method according to embodiment 1 of the present disclosure;

FIG. 2 is a schematic flow chart diagram of a method for recommending business opportunities based on action behaviors according to a first aspect of embodiment 1 of the present disclosure;

fig. 3 is a schematic structural diagram of a business opportunity recommendation system according to embodiment 1 of the present disclosure;

fig. 4 is an overall flow diagram of a recommender opportunity according to embodiment 1 of the present disclosure;

FIG. 5 is a schematic diagram of an apparatus for recommending business based on action behavior according to embodiment 2 of the present disclosure; and

fig. 6 is a schematic diagram of an apparatus for recommending business opportunities based on action behaviors according to embodiment 3 of the present disclosure.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. It is to be understood that the described embodiments are merely exemplary of some, and not all, of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

In accordance with the present embodiment, there is provided an embodiment of a method for recommending business opportunities based on behavioral actions, it being noted that the steps illustrated in the flowchart of the figure can be performed in a computer system such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described can be performed in an order different than here.

The method embodiments provided by the present embodiment may be executed in a server or similar computing device. FIG. 1 illustrates a block hardware architecture diagram of a computing device for implementing a method for recommending business opportunities based on behavioral behaviors. As shown in fig. 1, the computing device may include one or more processors (which may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory for storing data, and a transmission device for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computing device may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

It should be noted that the one or more processors and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuitry may be a single, stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computing device. As referred to in the disclosed embodiments, the data processing circuit acts as a processor control (e.g., selection of a variable resistance termination path connected to the interface).

The memory may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the method for recommending business based on action in the embodiments of the present disclosure, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implementing the method for recommending business based on action of application software. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory located remotely from the processor, which may be connected to the computing device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device is used for receiving or transmitting data via a network. Specific examples of such networks may include wireless networks provided by communication providers of the computing devices. In one example, the transmission device includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computing device.

It should be noted here that in some alternative embodiments, the computing device shown in fig. 1 described above may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that FIG. 1 is only one example of a particular specific example and is intended to illustrate the types of components that may be present in a computing device as described above.

In the operating environment described above, according to a first aspect of the present embodiment, a method for recommending business opportunities based on action behaviors is provided. Fig. 2 shows a flow diagram of the method, which, with reference to fig. 2, comprises:

s202: monitoring the issued action instance, and determining behavior data corresponding to the participating party of the action instance, wherein the action instance is preset with a behavior associated with the action instance and a tag associated with the behavior, and the behavior data is used for indicating the behavior generated by the participating party in the process of participating in the action instance;

s204: determining tag data corresponding to the participant based on the behavior data, wherein the tag data is indicative of tags associated with behaviors of the participant that occur during participation in the action instance; and

s206: and judging whether the participating party is a target user with business opportunity or not according to preset integration rules and label data, wherein the preset integration rules are used for indicating that different labels correspond to different integration values.

As described in the background art, the existing recommendation method sets different business opportunity push rules based on business logic and experience, so as to push corresponding business opportunities to users in different scenes. However, the existing business opportunity recommendation mode mainly has the following problems: the mining mode of the target user is mainly that manpower is used for mining through certain rules and experiences, time and labor are consumed, the coverage of the user is limited, and most potential target users can be lost. Moreover, the business manner of the target user is mainly recommended by manpower through certain rules and experiences, the recommended business types are single, the prediction accuracy is low, and the conversion rate of the salespersons is low.

In view of the above technical problems, in this embodiment, as shown in fig. 2 to 4, a business opportunity recommendation system is provided, which can be used as a business core database to help an enterprise quickly discover business opportunities. The user (business employee) may create an action (Campaign) in the business opportunity recommendation system, add behavior, tags, and set point rules with the action. Wherein each action (Campaign) may correspond to, for example, one activity. And under action (campaigns), the user (business employee) can define the behavior, behavior touch and tags of the participants of the action. Thereby defining the behavior of the participating party to be monitored, the behavior touch points associated by the behavior, and the tags associated by the behavior touch points.

Further, a system user may create an action instance in the system, and after setting the action associated with the action instance and the tag associated with the action, publish the action instance in the business opportunity recommendation system. The guest consults the published action instance and participates in the action instance to become a participant of the action instance. At this time, the business opportunity recommendation system needs to monitor the published action instance so as to determine the behavior data corresponding to the participants of the action instance. Wherein the behavior data is indicative of respective behaviors of the participating parties that are generated during participation in the action instance. And then, the business opportunity recommendation system determines label data corresponding to the participating party according to the behavior data. Wherein the tag data is used to indicate tags associated with actions generated by the participant in the course of engaging in the action instance. Because the business opportunity recommendation system is preset with the integral rule for indicating different integral values corresponding to different labels, the business opportunity recommendation system can judge whether the participating party is a target user with business opportunity according to the preset integral rule and label data. For example: the business opportunity recommendation system can determine the business opportunity integral value corresponding to the participating party according to the label corresponding to the participating party, and finally judge whether the participating party is the target user with business opportunity according to the business opportunity integral value. Therefore, in this way, an enterprise can interface the platform with the system, create a marketing strategy (namely, create actions, create action instances and set associated action behaviors and labels), clearly master user group behaviors, pictures and labels of all actions, screen and select preferred business users through intelligent cloud computing, and discover potential high-quality customers, so that the goal of business recommendation with high efficiency and high accuracy is achieved. Further, the technical problems that the business opportunity recommendation method in the prior art mainly carries out recommendation on manpower through certain rules and experiences, and is low in efficiency and accuracy are solved.

Optionally, the determining, according to a preset integration rule and tag data, whether the participating party is an operation of a target user with a business opportunity includes: determining a business point corresponding to the participating party according to a preset point rule and label data, wherein the business point is calculated by a point value corresponding to a label associated with the behavior generated by the participating party in the process of participating in the action instance; and judging whether the participating party is a target user with business opportunity or not according to a preset integral threshold value and the determined business opportunity integral.

Specifically, in the operation process of judging whether the participating party is a target user with business opportunity according to the preset point rule and the label data, the business opportunity recommending system firstly calculates the integral value corresponding to the label associated with the behavior generated by the participating party in the process of participating in the action instance according to the preset point rule and the label data so as to determine the business opportunity point corresponding to the participating party. Then, according to a preset integral threshold value, whether the quotient opportunity integral corresponding to the participating party is larger than the integral threshold value is judged, and therefore whether the participating party is a target user with the quotient opportunity is judged. In a preferred embodiment, the participating party is added to the business opportunity table in the event that the participating party is determined to be a target user with business opportunity. Wherein the business opportunity table is used for recording users with business opportunities. Therefore, whether the participating party of the action instance is the business opportunity user or not can be quickly and accurately judged by the method.

Optionally, the method further comprises: creating an action instance in response to a creation request for creating the action instance received from the first terminal device, and transmitting information related to the action instance to the first terminal device; responding to a first setting request for setting the behavior of the action instance and the label received from the first terminal equipment, performing corresponding setting operation on the action instance, and sending feedback information of successful setting to the first terminal equipment, wherein the first setting request comprises the behavior associated with the action instance and the label associated with the behavior; and issuing the action instance in response to a release request for issuing the action instance received from the first terminal device.

Specifically, as described with reference to fig. 4, in a case where a system administrator (system user) has created one action instance, a creation request of one action instance may be sent to the business opportunity recommendation system through its terminal device (corresponding to the first terminal device). At this time, the business opportunity recommendation system creates one action instance in response to a creation request for creating an action instance received from the first terminal device. Then, a system administrator (system user) can set the behavior and the label of the created action instance, and send a corresponding setting request to the business opportunity recommendation system through the first terminal device. In the application scenario, the business opportunity recommendation system responds to a first setting request for setting the behavior and the label of the action instance, which is received from the first terminal device, performs corresponding setting operation on the action instance, and sends feedback information of successful setting to the first terminal device. Wherein the first setup request includes an action associated with the action instance and a tag associated with the action. Finally, after completing the setting of the associated behavior and the tag of the action instance, the system administrator can issue the action instance to the business opportunity recommendation system through the first terminal device, and at the moment, the business opportunity recommendation system issues the action instance in response to the issuing request for issuing the action instance received from the first terminal device. Therefore, by the mode, the creation of the action example, the setting of the associated action and the label and the release of the action example are completed, so that guests of the system can consult and participate in the released action example, and a foundation is laid for the subsequent user group action, image, label and intelligent cloud computing screening and preference of the action to the business opportunity users.

Optionally, the method further comprises: creating an action in response to a creation request for creating the action received from the second terminal device, and sending information related to the action to the second terminal device, wherein the action is a template of an action instance; responding to an action of adding actions and a tag adding request received from the second terminal equipment, performing corresponding adding operation on the actions, and sending feedback information of successful adding to the second terminal equipment, wherein the adding request comprises the actions and the tags associated with the actions; and responding to a second setting request for setting the integral rule of the action received from the second terminal equipment, and performing corresponding setting operation on the action, wherein the second setting request comprises the integral rules associated with the labels of the action.

Specifically, as shown in fig. 4, in the case where the action manager has the function of creating one action, it is possible to send a request for creating one action to the business opportunity recommendation system through its terminal device (corresponding to the second terminal device). At this time, the business opportunity recommending system creates an action in response to the creation request for creating an action received from the second terminal device. Then, the action manager can add an action and a label to the created action, and send a corresponding addition request to the business opportunity recommendation system through the second terminal device. In the application scenario, the business opportunity recommendation system responds to the action adding behavior and the label adding request received from the second terminal device, performs corresponding adding operation on the action, and sends feedback information of successful adding to the second terminal device. Wherein the add request includes an action associated with the action and a tag associated with the action. Finally, after completing the associated action of the action and the addition of the label, the action manager can set the integral rule corresponding to the label associated with the action through the second terminal device, and at the moment, the business opportunity recommendation system performs corresponding setting operation on the action in response to a second setting request for setting the integral rule of the action, which is received from the second terminal device. Wherein the second setting request comprises respective scoring rules associated with respective tags of the action. Therefore, by the mode, the establishment of actions, the addition of the actions and the labels and the setting of the corresponding integral rules are completed, so that a system administrator can conveniently and quickly establish a specific action example based on the established actions.

Optionally, the operation of monitoring the published action instance and determining the behavior data corresponding to the participating party of the action instance includes: calling the SDK to request to issue an interface of a system with an action instance; and obtaining, via the interface, behavior data corresponding to the participants of the action instance.

Specifically, referring to fig. 4, in an operation process of monitoring an issued action instance and determining behavior data corresponding to a participant of the action instance, a business opportunity recommendation system (MIC system) first calls an SDK, then requests a MIC core interface, and finally acquires the behavior data corresponding to the participant of the action instance through the MIC core interface, that is, stores a behavior record and a tag record of the participant. By the method, the behavior data corresponding to the participating party of the action instance can be quickly and accurately acquired, and the data analysis is convenient to perform subsequently.

Optionally, the system comprises an action list module, an action contact management module, a tag list management module and a scoring rule management module, wherein the action list module is configured to create an action, manage an action list, view basic information of the action, manage tags associated with the action, manage actions associated with the tags and manage sub-actions under the action; the behavior contact management module is configured to manage behaviors associated with the actions and manage the behavior classification; the tag list management module is configured to manage tags associated with the behaviors and manage tag classifications; and the point rule management module is configured to manage point rules associated with the tags.

Specifically, the business opportunity recommendation system proposed in this embodiment includes four major modules, namely an action list module, an action contact management module, a tag list management module, and an integration rule management module. Wherein the action list module is configured to create an action, manage an action list, view basic information of the action, manage tags associated with the action, manage actions associated with the tags, and manage sub-actions under the action, the action touch management module is configured to manage the actions associated with the action and manage action classifications, the tag list management module is configured to manage the tags associated with the actions and manage tag classifications, and the score rule management module is configured to manage score rules associated with the tags.

Further, action list (ampagings list): the administrator may enter the Campaigns list page through the MIC core back-tactical center-Campaigns list page. And displaying information such as CampiagnsCode, name, description, starting time, creating time, ending time, responsible person, mailbox, mobile phone number, operation and the like. The method specifically comprises the following steps: the administrator may enter the create Campaigns popup page by clicking the "create" button. Basic information (ID, name, description, start time, deadline) and responsible person information (name, mailbox, mobile phone number) are displayed. By clicking the [ ok ] button, a piece of Campaigns is added. By clicking the [ cancel ] button, add and cancel Campaigns are added. Enter Campaigns code, name/description, select Campaigns state (enable/disable), click [ search ] button may enter search page. And displaying information such as CampiagnsCode, name, description, starting time, creating time, ending time, responsible person, mailbox, mobile phone number, operation and the like. The administrator selects the Campaigns state (enable/disable) through the MIC core back-tactical center-Campaigns list page, clicks [ enable/disable ] the operation button. The current Campaigns are enabled or disabled, if disabled, the current Campaigns are not available to the subsystem, and only if enabled, the current Campaigns are available to the subsystem. The administrator clicks the names of the Campiagns through an MIC core background-tactical center-Campiagns list page, and can enter a Campiagns detailed information page (basic information, label management, behavior contact management and sub-action management).

Basic information on ampalign list, administrator goes through MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. And clicking the tag (basic information) to check the basic information. Clicking a button (modify), modifying the current basic information (ID, name, description, starting time and deadline) of the current Campiagns, clicking a button (save update) of the responsible person information (name, mailbox and telephone), and updating the current Campiagns information. Clicking the button (cancel) to cancel the updating of the current Campiagns information.

For tag management of the Campaigns list, the administrator goes through the MIC core back office-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. And clicking the tag [ tag management ], and entering an associated tag list page under Campiagns. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. And clicking the tag [ tag management ], and entering an associated tag list page under Campiagns. And clicking the [ import ] button to enter a tab adding popup page, selecting a tab under the tab classification, performing single-selection or multi-selection operation on the tab, and inputting a tab name to search. Click the [ OK ] button, add the label association under current Campiagns. Click the [ cancel ] button to cancel the tag add association. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. And clicking the tag [ tag management ], and entering an associated tag list page under Campiagns. Input name, selection type, selection tag status (enabled/disabled). Clicking the [ search ] button may enter the search page. And displaying information such as label names, label classifications, scores, label descriptions, associated score names, creation time, operations and the like. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. And clicking the tag [ tag management ], and entering an associated tag list page under Campiagns. And clicking the score, modifying the score of the current label, and inputting the basic score of the current label. And clicking a [ confirm ] button to store the basic score of the current label. And clicking a (cancel) button to cancel the preservation of the current basic score. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. And clicking the tag [ tag management ], and entering an associated tag list page under Campiagns. Clicking the (association integral rule) button can associate the integral rule with the current label, display the default system rule and select other integral rules. Click [ OK ] button, the label confirms the association score rule. Click the [ cancel ] button, the tag cancels the association score rule. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. And clicking the tag [ tag management ], and entering an associated tag list page under Campiagns. Clicking the [ enable/disable ] button under operation can enable and disable the current tab. Tag enable may compute points and tag disable does not compute points.

For behavioral contact management of the Campaigns list, the administrator goes through the MIC core back office-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. Clicking the [ behavior touch management ] tag can enter into a related behavior touch list page under Campiagns. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. Clicking the [ behavior touch management ] tag can enter into a related behavior touch list page under Campiagns. Enter name, select type, select tag state (enable/disable), click [ search ] button may enter the search page. And displaying information such as behavior names, behavior codes, behavior classification, behavior description, creation time, operation and the like. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. Clicking the [ behavior touch management ] tag can enter into a related behavior touch list page under Campiagns. Clicking the [ import ] button can enter a behavior adding popup page, selecting behaviors under behavior classification, performing single-selection or multi-selection behavior operation, and inputting a behavior name for searching. Click the [ ok ] button and add behavior associated with the current Campaigns. Click the button [ cancel ], cancel the action association.

Regarding the child action management of the Campaigns list, the administrator clicks the name of Campaigns through the MIC core background-tactical center-Campaigns list page, can enter the Campaigns detailed information page, clicks the [ child action management ] tag, and can enter the associated child action list page under Campaigns. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. Clicking the tag of sub-action management can enter the associated action sub-action list page under Campiagns. One or more sub-actions are selected, and the [ delete ] button is clicked to delete all selected sub-actions. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. Clicking the tag of sub-action management can enter the associated action sub-action list page under Campiagns. Clicking the [ behavior contact is associated with the label ] button can enter a sub-action associated behavior label list page. And displaying information such as behavior classification, behavior name, behavior code, behavior classification, associated label, operation and the like in a folder form. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. Clicking the tag of sub-action management can enter the associated action sub-action list page under Campiagns. Clicking the [ behavior contact is associated with the label ] button can enter a sub-action associated behavior label list page. And displaying information such as behavior classification, behavior name, behavior code, behavior classification, associated label, operation and the like in a folder form. Clicking on the behavior classification in the form of the left folder can view the associated behavior under the current behavior classification. The administrator passes the MIC core back-tactical centre-Campaigns list page. Clicking on the names of the Campaigns may enter the Campaigns detailed information page. Clicking the tag of sub-action management can enter the associated action sub-action list page under Campiagns. Clicking the [ behavior contact is associated with the label ] button can enter a sub-action associated behavior label list page. Clicking the [ associated label ] button under the operation can enter a behavior associated label page, selecting one or more labels under the label classification, namely adding one label after each label is selected, and canceling the association if the label is cancelled.

Further, tag list management: the administrator can enter the tag list management page through the MIC core background-tactical center-tag list management page. And displaying information such as label classification, label name, label classification, score, label description, source, creation time, operation and the like in a folder form. The administrator inputs the search name through the MIC core background-tactical center-tag list management page, and can enter the search page by clicking a [ search ] button. And displaying the searched tags, and displaying information such as tag names, tag classifications, scores, tag descriptions, sources, creation time, operations and the like. The administrator manages the page through the MIC core back office-tactical center-tag list. Clicking the [ modify ] button may enter the behavior modification page. And displaying the name of the label to be modified, the score, the label description and the selected label type. Click [ ok ] button, the current label may be modified. Click the button (cancel) to cancel the modification of the current label. Note that: the system library label does not have a [ modify ] button and does not support modify operations.

With respect to add tag classifications, the administrator manages the page through the MIC core back office-tactical center-tag list. Clicking the [ add label category ] button may enter the add label category popup page. And displaying the name of the label classification to be added, the sequence number (the sequence number is smaller, the sequence is more advanced), and selecting the parent label classification. Click the [ submit ] button, the current label category may be added. Note that: built-in tag classifications may not be added. With respect to editing tag classifications, the administrator manages the page through the MIC core back office-tactical center-tag list. Click on the category of the label to be edited. And clicking the button (editing label classification) to enter an editing label classification popup page. And displaying the names of the label classifications to be edited, the sequence numbers (the sequence numbers are smaller, the sequence is more front), and selecting the parent label classification. Click the [ submit ] button, the current label category can be edited. Note that: the built-in tag is not editable. Regarding the class of the deleted tag, the administrator manages the page through the MIC core background-tactical center-tag list, clicks the class of the tag to be deleted, and directly deletes the selected class of the tag by clicking the [ delete tag class ] button. Note that: the built-in label cannot be deleted.

With respect to adding tags, the administrator manages the page through the MIC core back-office-tag list. Clicking the [ add tag ] button may enter the add tag popup page. And displaying the name of the label to be added, the score, the label description and the selected label type. Click [ OK ] button, add current label. Click the (cancel) button to cancel the addition of the current label. Note that: add tags may not be added under the built-in tag classification. Regarding deleting tags, the administrator clicks on a tag under a tag category selected to be deleted through the MIC core back-tactical center-tag list management page, and may directly delete one or more selected tags by clicking the [ delete tag ] button. Note that: deleting the label can not delete the label under the category of the built-in label. Regarding exporting labels, an administrator can directly export all self-defined labels in an excel format by clicking a [ export label ] button through an MIC core background-tactical center-label list management page. Note that: the built-in tag is not exportable. Regarding importing labels, an administrator can directly import files in all formats by clicking a [ import label ] button through an MIC core background-tactical center-label list management page. Note that: the built-in tag cannot be imported. Regarding the downloading template, an administrator can directly download the template and the file in the excel format by clicking a button (downloading template) through an MIC core background-tactical center-tag list management page. With respect to adding tags from the system library, the administrator manages the page through the MIC core back office-tactical center-tag list. Clicking [ add tag from system library ] button may go to add tag from system library pop-up page. And displaying all the labels under the built-in label classification, and selecting one or more labels to be added. Click [ ok ] button, add the selected label. Click the [ cancel ] button to cancel the tag added for selection. Note that: after adding tags from the system library, the system library is not displaying the added tags.

Further, action contact management: the administrator may enter the action touch point management list page through the MIC core back-office-tactical center-action touch point management page. And displaying information such as behavior classification, behavior name, behavior code, behavior classification, behavior description, source, creation time, operation and the like in a folder form. The administrator inputs the search name through the MIC core background-tactical center-behavior contact management page, and can enter the search page by clicking the [ search ] button. And displaying the searched behaviors, and displaying information such as behavior names, behavior codes, behavior classifications, behavior descriptions, sources, creation time, operation and the like. The administrator manages the page through MIC core back office-tactical center-action touch. With regard to adding a behavior category, clicking the [ Modify ] button may enter a behavior modification page. And displaying the action name, the action description, the action code and the selected action classification to be modified. Click [ ok ] button, current behavior may be modified. Clicking the button (cancel) to cancel the modification of the current behavior. The administrator manages the page through MIC core back office-tactical center-action touch. Clicking the [ add behavior category ] button can enter an add behavior category popup page. And displaying the name of the behavior classification to be added, the sequence number (the sequence number is smaller, the sequence is more advanced), and selecting the parent behavior classification. Click the [ submit ] button, the current behavior category may be added. Note that: built-in behavior classes may not be added.

Classification with respect to editing behavior. The administrator manages the page through MIC core back office-tactical center-action touch. Clicking on the behavior category to be edited. And clicking the button (editing behavior classification) to enter an editing behavior classification popup page. And displaying the names of the behavior classifications to be edited, the sequence numbers (the sequence numbers are smaller, the sequence numbers are more front), and selecting the parent behavior classification. Clicking the [ submit ] button can edit the current behavior category. Note that: built-in behavior is not editable. Regarding the deleting behavior classification, the administrator manages the page through the MIC core background-tactical center-behavior contact, clicks the behavior classification to be deleted, and directly deletes the selected behavior classification by clicking the [ delete behavior classification ] button. Note that: built-in behavior cannot be deleted. With respect to add behavior, the administrator manages the page through the MIC core back office-tactical center-action touch. Clicking the [ add action ] button can enter an add action popup page. And displaying the action name, the action description, the action code and the selected action classification to be added. Click [ ok ] button, add current behavior. Click the button (cancel) to cancel the current action. Note that: the add behavior may not be added to the built-in behavior.

Regarding the deletion behavior, the administrator clicks on the behavior under the category of the behavior to be deleted by managing the page through MIC core background-tactical center-behavior contact, and may directly delete one or more selected behaviors by clicking the [ delete behavior ] button. Note that: the delete behavior may not delete a behavior under the built-in behavior classification. Regarding export behaviors, an administrator can directly export all custom behaviors through an MIC core background-tactical center-behavior contact management page by clicking a [ export behavior ] button, namely an excel format. Note that: built-in behavior is not derivable. Regarding import behaviors, an administrator can directly import files in all formats by clicking a [ import behaviors ] button through an MIC core background-tactical center-behavior contact management page. Note that: built-in behavior cannot be imported. Regarding downloading the template, an administrator can directly download the template and the file in the excel format by clicking a button (downloading the template) through an MIC core background-tactical center-behavior contact management page.

Furthermore, the integration rule: the administrator can enter the integral acceleration rule list page through the MIC core background-tactical center-integral acceleration rule page. And displaying information such as the name, description, creation time, operation and the like of the integration rule. The administrator passes the MIC core back office-tactical center-integral acceleration rules page. Click the (add) button and enter the add points rule popup page. The integration name, description, period range are input. Click [ ok ] button add an integration rule. And clicking a button (cancel) to cancel editing of the current integration rule. And displaying information such as rule requirements, examples and the like. The administrator inputs the name of the integral rule through an MIC core background-tactical center-integral acceleration rule page, clicks a [ search ] button and can enter a search integral rule page. The administrator passes the MIC core back office-tactical center-integral acceleration rules page. Click the [ modify ] button, may enter the modify points rule page. The integral name, description, period range are modified. Click the [ confirm ] button to complete the modification. Click [ cancel button ] to cancel the current tally rule. The administrator can enter the page for checking the integral rule by clicking the [ checking ] button through the MIC core background-tactical center-integral acceleration rule page. Click [ cancel button ] to cancel the current score rule.

Further, referring to fig. 1, according to a second aspect of the present embodiment, there is provided a storage medium. The storage medium comprises a stored program, wherein the method of any of the above is performed by a processor when the program is run.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.

Example 2

Fig. 5 shows an apparatus 500 for recommending business opportunities based on action behaviors according to the present embodiment, the apparatus 500 corresponding to the method according to the first aspect of embodiment 1. Referring to fig. 5, the apparatus 500 includes: a behavior data determining module 510, configured to monitor the published action instance, and determine behavior data corresponding to an adding party of the action instance, where the action instance is preset with a behavior associated with the action instance and a tag associated with the behavior, and the behavior data is used to indicate a behavior generated by the adding party in the process of adding the action instance; a tag data determination module 520 for determining tag data corresponding to the participant according to the behavior data, wherein the tag data is used for indicating tags associated with behaviors generated by the participant in the course of participating in the action instance; and a merchant user determination module 530, configured to determine whether the participating party is a target user with a merchant according to preset integration rules and tag data, where the preset integration rules are used to indicate that different tags correspond to different integration values.

Optionally, the merchant user determination module 530 includes: the business point determining submodule is used for determining business points corresponding to the participating party according to preset point rules and label data, wherein the business points are obtained by calculating integral values corresponding to labels related to behaviors generated by the participating party in the process of participating in the action instance; and the business opportunity user determination submodule is used for judging whether the participating party is a target user with business opportunity or not according to a preset integral threshold value and the determined business opportunity integral.

Optionally, the apparatus 500 further comprises: and the business opportunity table updating module is used for adding the participating party to the business opportunity table under the condition that the participating party is judged to be the target user with the business opportunity, wherein the business opportunity table is used for recording the user with the business opportunity.

Optionally, the apparatus 500 further comprises: the first creating module is used for responding to a creating request for creating the action example received from the first terminal equipment, creating the action example and sending information related to the action example to the first terminal equipment; the first setting module is used for responding to a first setting request for setting the behavior and the label of the action instance, which is received from the first terminal equipment, performing corresponding setting operation on the action instance, and sending feedback information of successful setting to the first terminal equipment, wherein the first setting request comprises the behavior associated with the action instance and the label associated with the behavior; and the issuing module is used for responding to an issuing request for issuing the action instance received from the first terminal equipment and issuing the action instance.

Optionally, the apparatus 500 further comprises: the second creating module is used for responding to a creating request for creating the action received from the second terminal equipment, creating the action and sending information related to the action to the second terminal equipment, wherein the action is a template of an action example; the adding module is used for responding to an action adding action and a tag adding request received from the second terminal equipment, performing corresponding adding operation on the action and sending feedback information of successful adding to the second terminal equipment, wherein the adding request comprises the action and the tag associated with the action; and a second setting module, configured to perform a corresponding setting operation on the action in response to a second setting request for setting the score rule of the action, received from the second terminal device, where the second setting request includes the score rules associated with the tags of the action.

Optionally, the behavior data determining module 510 includes: the calling submodule is used for calling the SDK and requesting to issue an interface of the system with the action instance; and the obtaining sub-module is used for obtaining the behavior data corresponding to the participating party of the action instance through the interface.

Thus, according to this embodiment, a system user may create an action instance in the system, and after setting the action associated with the action instance and the tag associated with the action, publish the action instance in the business opportunity recommendation system. The guest consults the published action instance and participates in the action instance to become a participant of the action instance. At this time, the business opportunity recommendation system needs to monitor the published action instance so as to determine the behavior data corresponding to the participants of the action instance. Wherein the behavior data is indicative of respective behaviors of the participating parties that are generated during participation in the action instance. And then, the business opportunity recommendation system determines label data corresponding to the participating party according to the behavior data. Wherein the tag data is used to indicate tags associated with actions generated by the participant in the course of engaging in the action instance. Because the business opportunity recommendation system is preset with the integral rule for indicating different integral values corresponding to different labels, the business opportunity recommendation system can judge whether the participating party is a target user with business opportunity according to the preset integral rule and label data. For example: the business opportunity recommendation system can determine the business opportunity integral value corresponding to the participating party according to the label corresponding to the participating party, and finally judge whether the participating party is the target user with business opportunity according to the business opportunity integral value. Therefore, in this way, an enterprise can interface the platform with the system, create a marketing strategy (namely, create actions, create action instances and set associated action behaviors and labels), clearly master user group behaviors, pictures and labels of all actions, screen and select preferred business users through intelligent cloud computing, and discover potential high-quality customers, so that the goal of business recommendation with high efficiency and high accuracy is achieved. Further, the technical problems that the business opportunity recommendation method in the prior art mainly carries out recommendation on manpower through certain rules and experiences, and is low in efficiency and accuracy are solved.

Example 3

Fig. 6 shows an apparatus 600 for recommending business opportunities based on action behaviors according to the present embodiment, the apparatus 600 corresponding to the method according to the first aspect of embodiment 1. Referring to fig. 6, the apparatus 600 includes: a processor 610; and a memory 620 coupled to the processor 610 for providing instructions to the processor 610 to process the following processing steps: monitoring the issued action instance, and determining behavior data corresponding to the participating party of the action instance, wherein the action instance is preset with a behavior associated with the action instance and a tag associated with the behavior, and the behavior data is used for indicating the behavior generated by the participating party in the process of participating in the action instance; determining tag data corresponding to the participant based on the behavior data, wherein the tag data is indicative of tags associated with behaviors of the participant that occur during participation in the action instance; and judging whether the participating party is a target user with business opportunity or not according to preset integration rules and label data, wherein the preset integration rules are used for indicating that different labels correspond to different integration values.

Optionally, the memory 620 is further configured to provide the processor 610 with instructions to process the following processing steps: and in the case that the participating party is determined to be the target user with the business opportunity, adding the participating party to a business opportunity table, wherein the business opportunity table is used for recording the user with the business opportunity.

Optionally, the memory 620 is further configured to provide the processor 610 with instructions to process the following processing steps: creating an action instance in response to a creation request for creating the action instance received from the first terminal device, and transmitting information related to the action instance to the first terminal device; responding to a first setting request for setting the behavior of the action instance and the label received from the first terminal equipment, performing corresponding setting operation on the action instance, and sending feedback information of successful setting to the first terminal equipment, wherein the first setting request comprises the behavior associated with the action instance and the label associated with the behavior; and issuing the action instance in response to a release request for issuing the action instance received from the first terminal device.

Optionally, the memory 620 is further configured to provide the processor 610 with instructions to process the following processing steps: creating an action in response to a creation request for creating the action received from the second terminal device, and sending information related to the action to the second terminal device, wherein the action is a template of an action instance; responding to an action of adding actions and a tag adding request received from the second terminal equipment, performing corresponding adding operation on the actions, and sending feedback information of successful adding to the second terminal equipment, wherein the adding request comprises the actions and the tags associated with the actions; and responding to a second setting request for setting the integral rule of the action received from the second terminal equipment, and performing corresponding setting operation on the action, wherein the second setting request comprises the integral rules associated with the labels of the action.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims

1. A method for recommending business opportunities based on behavioral activities, comprising:

monitoring the issued action instance, and determining behavior data corresponding to an adding party of the action instance, wherein the action instance is preset with a behavior associated with the action instance and a label associated with the behavior, and the behavior data is used for indicating a behavior generated by the adding party in the process of adding the action instance;

determining tag data corresponding to the participant according to the behavior data, wherein the tag data is used for indicating tags associated with behaviors generated by the participant in the process of participating in the action instance; and

and judging whether the participating party is a target user with business opportunity or not according to preset integration rules and the label data, wherein the preset integration rules are used for indicating that different labels correspond to different integration values.

2. The method of claim 1, wherein the operation of determining whether the participating party is a target user with a business opportunity according to a preset integration rule and the tag data comprises:

determining a business point corresponding to the participant according to a preset point rule and the label data, wherein the business point is calculated by a point value corresponding to a label associated with the behavior generated by the participant in the process of participating in the action instance; and

and judging whether the participating party is a target user with business opportunity or not according to a preset integral threshold value and the determined business opportunity integral.

3. The method of claim 1, further comprising: and in the case that the participating party is determined to be the target user with business opportunity, adding the participating party to a business opportunity table, wherein the business opportunity table is used for recording the user with business opportunity.

4. The method of claim 1, further comprising:

in response to a creation request for creating the action instance received from a first terminal device, creating the action instance and sending information related to the action instance to the first terminal device;

responding to a first setting request for setting the behavior and the label of the action instance, which is received from the first terminal equipment, performing corresponding setting operation on the action instance, and sending feedback information of successful setting to the first terminal equipment, wherein the first setting request comprises the behavior associated with the action instance and the label associated with the behavior; and

and issuing the action instance in response to the issuing request for issuing the action instance received from the first terminal equipment.

5. The method of claim 1, further comprising:

in response to a creation request for creating an action received from a second terminal device, creating the action, and sending information related to the action to the second terminal device, wherein the action is a template of the action instance;

responding to an adding request of adding the behavior and the label of the action, which is received from the second terminal equipment, performing corresponding adding operation on the action, and sending feedback information of successful adding to the second terminal equipment, wherein the adding request comprises the behavior and the label associated with the action; and

and in response to a second setting request for setting the integral rule of the action, which is received from the second terminal equipment, performing corresponding setting operation on the action, wherein the second setting request comprises the integral rules associated with the labels of the action.

6. The method of claim 1, wherein monitoring the published action instance, and determining behavior data corresponding to the participants of the action instance comprises:

calling the SDK to request an interface of the system distributed with the action example; and

behavior data corresponding to the participants of the action instance is obtained through the interface.

7. The method of claim 6, wherein the system comprises an action list module, an action touch management module, a tag list management module, and a points rule management module, wherein

The action list module is configured to create an action, manage an action list, view basic information of the action, manage tags associated with the action, manage behaviors associated with the tags, and manage sub-actions under the action;

the behavior contact management module is configured to manage behaviors associated with actions and manage behavior classifications;

the tag list management module is configured to manage tags associated with the behaviors and manage tag classifications; and

the scoring rule management module is configured to manage scoring rules associated with the tags.

8. A storage medium comprising a stored program, wherein the method of any one of claims 1 to () is performed by a processor when the program is running.

9. An apparatus for recommending business opportunities based on behavioral activities, comprising:

the behavior data determining module is used for monitoring a published action example and determining behavior data corresponding to an adding party of the action example, wherein the action example is preset with a behavior associated with the action example and a label associated with the behavior, and the behavior data is used for indicating the behavior generated by the adding party in the process of adding the action example;

a tag data determination module for determining tag data corresponding to the participant according to the behavior data, wherein the tag data is used for indicating tags associated with behaviors generated by the participant in the process of participating in the action instance; and

and the merchant user determining module is used for judging whether the participating party is a target user with a merchant according to a preset integration rule and the label data, wherein the preset integration rule is used for indicating that different labels correspond to different integration values.

10. An apparatus for recommending business opportunities based on behavioral activities, comprising:

a processor; and

a memory coupled to the processor for providing instructions to the processor for processing the following processing steps: