CN119273315A

CN119273315A - Method and device for processing itinerary mail

Info

Publication number: CN119273315A
Application number: CN202411799134.4A
Authority: CN
Inventors: 杨良志; 白琳; 汪志新; 方跃涵; 铁喜光
Original assignee: Richinfo Technology Co ltd
Current assignee: Richinfo Technology Co ltd
Priority date: 2024-12-09
Filing date: 2024-12-09
Publication date: 2025-01-07

Abstract

The embodiment of the application provides a processing method and a processing device of a travel mail, and relates to the technical field of natural language processing, wherein the method comprises the steps of extracting target travel characteristic information according to target mail information, wherein the target travel characteristic information comprises target traffic mode characteristics, target travel node characteristics and/or target association characteristics of a target traffic mode and a target travel node; and generating target journey reminding information according to the target journey characteristic information. In this way, the automatic integration precision of the travel mail information is improved, the establishment flow of travel reminding is simplified, the automatic generation precision and efficiency of travel reminding are improved, the relevance of travel reminding is improved, the occurrence delay of travel and the mutual conflict of travel are reduced, the probability that a person misses the travel is improved, the integration degree and the matching degree among a plurality of travel are improved, and the integration degree of the person and the travel is improved.

Description

Method and device for processing travel mail

Technical Field

The embodiment of the application relates to the technical field of natural language processing, in particular to a method and a device for processing travel mails.

Background

With the rapid development of information technology, email has become an integral part of people's daily lives. Currently, email plays a significant role in travel information streaming. However, in the related art, the automatic integration precision of the travel mail information is poor, the steps of the process for establishing the travel reminding are complex, the relevance of the travel reminding is poor, the travel is delayed and contradicted, and the probability of missing the travel by personnel is high.

Therefore, a new solution is needed to solve the above-mentioned problems.

Disclosure of Invention

According to the embodiment of the application, the processing method and the processing device for the travel mails are beneficial to improving the automatic integration precision of the travel mail information, simplifying the establishment flow of travel reminding, improving the automatic generation precision and efficiency of the travel reminding, improving the relevance of the travel reminding, reducing the occurrence delay of the travel, the mutual conflict of the travel, the probability of the person missing the travel, improving the integration degree and the matching degree among a plurality of travel and improving the fitting degree of the person and the travel.

In a first aspect of the present application, a method for processing a travel mail is provided, including:

Extracting target journey feature information according to the target mail information, wherein the target journey feature information comprises target traffic mode features, target journey node features and/or target association features of the target traffic mode and the target journey node;

and generating target journey reminding information according to the target journey characteristic information.

In some possible embodiments, before extracting the travel characteristic information according to the target mail information, the method further includes:

determining a target mail according to the target keyword and/or the target domain name;

and performing a target cleaning operation on the target mail to generate target mail information.

In some possible implementations, extracting the travel characteristic information from the target mail information includes:

Identifying target mail information to determine target traffic pattern characteristics;

The target traffic mode features include:

The target traffic mode corresponds to the class number feature, the time node feature associated with the target traffic mode, the starting node feature corresponding to the target traffic mode, and/or the safety evaluation feature corresponding to the target traffic mode.

In some possible embodiments, extracting the journey feature information from the target mail information further comprises:

Identifying target mail information to determine target trip node characteristics;

wherein the target trip node characteristics include:

A target trip-ground node characteristic, a target trip-ground node pointing characteristic, and/or a time node characteristic corresponding to the target trip-ground node.

In some possible embodiments, the association features of the target traffic mode and the target journey node include:

spatial sequence correlation features, and/or temporal sequence correlation features.

In some possible implementations, generating the target trip reminder information based on the target trip characteristic information includes:

Generating schedule reminding information according to the target traffic mode characteristics and the target journey node characteristics and the time sequence association characteristics, wherein the time sequence association characteristics correspond to the target traffic mode characteristics and the target journey node characteristics one by one.

In some possible implementations, generating the target trip reminder information according to the target trip feature information further includes:

and generating a target prompt card according to the target traffic mode characteristics, the target journey node characteristics, the spatial sequence association characteristics and/or the time sequence association characteristics.

In some possible embodiments, the method of any one of the above further comprises:

in the event that it is determined that the person associated with the target trip contains a plurality,

And generating an auxiliary prompt card according to the target travel characteristic information corresponding to other people.

In a second aspect of the present application, there is provided a travel mail processing apparatus comprising:

The extraction unit is used for extracting target travel characteristic information according to the target mail information, wherein the target travel characteristic information comprises a target traffic mode characteristic, a target travel node characteristic and/or a target association characteristic of the target traffic mode and the target travel node;

And the generating unit is used for generating target journey reminding information according to the target journey characteristic information.

The method comprises the steps of extracting target travel characteristic information according to target mail information, wherein the target travel characteristic information comprises target traffic mode characteristics, target travel node characteristics and/or target association characteristics of a target traffic mode and target travel nodes, and generating target travel reminding information according to the target travel characteristic information. The application is beneficial to improving the automatic integration precision of the travel mail information, simplifying the establishment flow of the travel reminding, improving the automatic generation precision and efficiency of the travel reminding, improving the relevance of the travel reminding, reducing the possibility that the travel is delayed and the travel is mutually contradicted, and the personnel miss the travel, improving the integration degree and the matching degree among a plurality of travel and improving the integration degree of the personnel and the travel.

It should be understood that the description in this summary is not intended to limit the critical or essential features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the description that follows.

Drawings

The above and other features, advantages and aspects of embodiments of the present application will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:

FIG. 1 is a schematic flow chart of a method for processing travel mails according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a processing device for travel mails according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are some embodiments of the present disclosure, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments in this disclosure without inventive faculty, are intended to be within the scope of this disclosure.

In addition, the term "and/or" is merely an association relation describing the association object, and means that three kinds of relations may exist, for example, a and/or B, and that three kinds of cases where a exists alone, while a and B exist alone, exist alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.

In a first aspect of the embodiment of the present application, a method for processing a travel mail is provided. Fig. 1 is a schematic flow chart of a method 100 for processing a travel mail according to an embodiment of the present application, where, as shown in fig. 1, the method 100 includes:

And step S110, extracting target journey feature information according to the target mail information, wherein the target journey feature information comprises target traffic mode features, target journey node features and/or target association features of the target traffic mode and the target journey nodes.

The target traffic pattern characteristics may include, for example, a type of target traffic pattern, a class number of the target traffic pattern, a departure time of the target traffic pattern, and/or a target departure place, a target destination, a target airport, a target station, and/or an arrival time of the target traffic pattern, etc.

By way of example, the target trip node characteristics may include target trip location characteristics such as target hotels and/or target tourist attractions, etc.

The target association characteristic of the target traffic mode and the target travel node may include an association of the target traffic mode with a target destination, an association of a target departure place with a target destination, an association of a departure time of the target traffic mode with a target departure place, an association of an arrival time of the target traffic mode with a target destination, an association of the target departure place with a target airport, an association of the target destination with a target airport, an association of the target departure place with a target station, an association of the target destination with a target hotel, an association of the target destination with a target tourist attraction, and/or an association of the target hotel with the target tourist attraction. The association relationship includes a distance association relationship and/or a time node association relationship.

In some possible embodiments, the subject, sender and text of the target mail may be converted into target mail information of plain text based on a preset model, and a text information extraction operation may be performed on the target mail to extract the target trip feature information. The preset model may include Long Short Term Memory-conditional random field model (LSTM-CRF) of Long Short Term Memory-Conditional Random Field.

For example, sequence labeling may be performed on the target mail information based on the LSTM-CRF model to generate a named entity recognition result and a part of speech labeling result, and the target trip feature information may be generated according to the named entity recognition result and the part of speech labeling result. The data form of the target journey characteristic information can comprise structured JSON data.

Specifically, an entity boundary recognition operation may be performed on the target mail message based on the LSTM-CRF model to determine a start position and an end position of a target entity, and the target traffic pattern feature, the target trip node feature, and/or a target association feature of the target traffic pattern and the target trip node may be generated according to a category of the entity.

And step S120, generating target journey reminding information according to the target journey characteristic information.

Exemplary, the characteristic of the target travel location, such as a target hotel and/or a target tourist attraction, an association of the target traffic mode with the target destination, an association of the departure time of the target traffic mode with the target departure place, an association of the arrival time of the target traffic mode with the target destination, an association of the target traffic mode with the target airport, an association of the target departure time with the target airport, an association of the target destination with the target airport, an association of the target departure place with the target airport, an association of the target destination with the target station, an association of the target destination with the target hotel, an association of the target destination with the target tourist attraction, and/or an association of the target hotel with the target tourist attraction, etc. may be determined according to the type of the target traffic mode, the class number of the target traffic mode, the departure time of the target traffic mode, the arrival time of the target traffic mode, and/or the arrival time of the target traffic mode, etc. The association relationship includes a distance association relationship and/or a time node association relationship, and the like, and generates target journey reminding information.

It should be noted that the target trip reminding information may include a plurality of reminding modes. The multiple reminding modes can comprise information reminding, schedule reminding, alarm clock reminding, mail reminding, schedule card reminding and the like.

The method for processing the travel mails comprises the steps of extracting target travel feature information according to target mail information, wherein the target travel feature information comprises target traffic mode features and target travel node features and/or target association features of the target traffic mode and the target travel node, and generating target travel reminding information according to the target travel feature information. The application can realize the improvement of the automatic integration precision of the target travel characteristic information, simplify the establishment flow of the target travel reminding information, improve the automatic generation precision and efficiency of the target travel reminding information, improve the relevance of the target travel reminding information, reduce the travel delay, travel conflict and the probability of a person missing the travel, thereby improving the fusion degree and the matching degree among a plurality of travel and improving the fit degree of the person and the travel.

Step S110a, determining the target mail according to the target keyword and/or the target domain name.

The target keywords may include, for example, airline names, hotel service names, travel service platform names, and travel reservation related sentences composed of noun structures. The travel reservation related statement composed of the proper noun structure can comprise travel confirmation, hotel reservation, travel arrangement and the like.

For example, the current mail may be determined to be the target mail when determining that the mail sender name, the mail header, and/or the mail body of the current mail are the target mail according to the target keyword traversal query.

Specifically, word segmentation operation can be performed on the plain text data of the mail sender name, the mail title and the mail body based on a longest matching algorithm and an industry-specific Chinese word stock, then the word segmentation result is subjected to traversal fuzzy comparison with a target keyword dictionary, and under the condition that the fact that the plain text data of the mail sender name, the mail title and the mail body are determined to exist as target keywords in the target keyword dictionary, the current mail is determined to be the target mail.

For example, the domain name information corresponding to the airlines, the domain name information corresponding to the hotel service providers, and the domain name information corresponding to the travel service platform providers may be stored in advance to form a target domain name storage pool. And under the condition that the domain name of the current mail belongs to the target domain name storage pool, determining that the current mail is the target mail. It should be noted that, the target domain name storage pool may be updated in real time according to an airline industry database, a hotel service business database, and a travel service platform business database.

Step S110b, performing a target cleaning operation on the target mail to generate target mail information.

For example, after determining that the current mail is the target mail, the target parsing operation may be performed on the hypertext markup language (HyperText Markup Language, HTML) corresponding to the target mail based on the preset regular expression, so as to filter the style data, the layout data, and noise data such as irrelevant labels, signs, advertisements, and the like, to generate the structured target mail information. The preset regular expression can be defined by self according to actual requirements.

Based on the method, the target mail is accurately determined according to the target keywords and/or the target domain name, the accuracy of the data cleaning operation and the information extraction operation which are carried out subsequently is improved, the performance waste is avoided, the target mail information is generated by carrying out the target cleaning operation on the target mail, and the method is beneficial to accurately removing redundant information and noise information in the target mail information, so that the extraction accuracy of the travel characteristic information is improved.

It should be noted that, before performing step S111 described below, the target mail may be further classified according to the target keyword and/or the target domain name and the first class identifier may be generated for the target mail.

For example, in the case where it is determined that the target mail belongs to the traffic class mail according to the target keyword corresponding to the traffic class, and/or the target domain name, the following step S111 is performed on the target mail. The target keywords corresponding to the traffic class can comprise train shifts, station names, airline names, flight shifts and the like. The target domain name may include a railway official domain name, an airline official domain name, and the like.

It should be noted that, the target mail may be classified secondarily according to the target keyword corresponding to the traffic class and/or the target domain name, and a secondary class identifier may be generated for the target mail, so as to determine that the target mail belongs to a train class travel mail or an aircraft class travel mail, so as to improve the accuracy of determining the characteristics of the target traffic mode. The method comprises the steps of receiving traffic mail, wherein the traffic mail can be aggregated to generate a traffic mode special mail list view for the target mail belonging to the traffic mail, so that the inquiring efficiency of the traffic mail is improved.

In some possible embodiments, the extracting the journey feature information according to the target mail information comprises:

step S111, identifying target mail information to determine target traffic mode characteristics, wherein the target traffic mode characteristics comprise corresponding class number characteristics of the target traffic mode, time node characteristics associated with the target traffic mode, starting node characteristics corresponding to the target traffic mode and/or safety evaluation characteristics corresponding to the target traffic mode.

The target traffic mode corresponding class number features may include, for example, a flight number feature, a train class number feature, and the like.

By way of example, the time node characteristics associated with the target traffic pattern may include a flight departure date, a flight arrival date, a flight departure time, a flight arrival time, a train departure date, a train departure time, a train arrival date, a train arrival time, and the like.

Illustratively, the landing node characteristics corresponding to the target traffic mode can comprise a flight boarding gate, a flight boarding location, a flight departure airport, a flight arrival airport, a flight departure city, a flight arrival city, a train departure platform, a train arrival platform, a train departure city, a train arrival city and the like.

The security evaluation features corresponding to the target traffic mode can comprise airlines, flight states, flight types, aircraft service years, train service sections, train states, train types, train service years and the like.

Specifically, under the condition that the target mail belongs to the traffic mail, according to the information of the target mail, the corresponding class number feature of the target traffic mode corresponding to the target traffic mode, the time node feature associated with the target traffic mode, the starting node feature corresponding to the target traffic mode and/or the safety evaluation feature corresponding to the target traffic mode are extracted. The class number feature corresponding to the target traffic mode, the time node feature associated with the target traffic mode, the starting node feature corresponding to the target traffic mode, and/or the security evaluation feature corresponding to the target traffic mode may be stored as structured JSON data. It should be noted that, when the target mail is marked as a traffic mail and the extraction abnormality or extraction failure occurs in the target traffic mode feature, the mark is removed and the target mail is restored to a normal mail.

Based on the method, the corresponding class number feature of the target traffic mode, the time node feature associated with the target traffic mode and the starting node feature corresponding to the target traffic mode can be accurately determined according to the target mail information, and/or the safety evaluation feature corresponding to the target traffic mode is based on the corresponding class number feature of the target traffic mode, the time node feature associated with the target traffic mode and the starting node feature corresponding to the target traffic mode, and/or the safety evaluation feature corresponding to the target traffic mode, the target travel reminding information providing data basis is accurately generated, so that the comprehensiveness and fineness of the target travel reminding information are improved, and the available value of the target travel reminding information is improved.

It should be noted that, before performing step S112 described below, the target mail may be further classified according to the target keyword and/or the target domain name and the first class identifier may be generated for the target mail.

Illustratively, in the case that it is determined that the target mail belongs to the trip node class mail according to the target keyword corresponding to the trip node class and/or the target domain name, step S112 is performed on the target mail. The target keywords corresponding to the travel node type mails can comprise hotels, check-in, tickets and the like. The target domain name may include a domain name corresponding to a hotel service provider, and the like.

It should be noted that, the secondary classification may be performed on the target mail according to the target keyword corresponding to the trip node mail, and the secondary classification identifier may be generated on the target mail, so as to determine that the target mail belongs to hotel check-in mail or tourist attraction mail, so as to precisely determine the characteristic of the target trip node. The target mails belonging to the journey node mails can be aggregated to generate a journey node special mail list view so as to improve the inquiring efficiency of the journey node mails.

In some possible embodiments, the step S110, extracting the journey feature information according to the target mail information further comprises:

Step S112, identifying target mail information to determine target journey node features, wherein the target journey node features comprise target journey place node features, target journey place node direction features, and/or time node features corresponding to the target journey place nodes.

Illustratively, the target travel location node characteristics may include hotel names, hotel addresses, hotel phones, attraction names, attraction addresses, attraction phones, cities to which the hotel belongs, cities to which the attraction belongs, and the like.

The target trip node pointing feature may include, for example, a hotel to attraction pointing feature. For example, in the case where the hotel is a Beijing AAA hotel and the sight is a Beijing Imperial palace, the target travel location node pointing feature may include pointing from the Beijing AAA hotel to the Beijing Imperial palace and/or pointing from the Beijing Imperial palace to the Beijing AAA hotel. And/or, a directional characteristic of the first travel ground city to the second travel ground city. For example, the first travel distance city may be a travel distance city that is forward in time series and the second travel distance city may be a travel distance city that is backward in time series. For example, in the case where the first travel place city is Beijing and the second travel place city is Seattle, then the target travel place node pointing feature is from Beijing to Seattle.

The embodiment form of the target journey node pointing feature can comprise a three-dimensional map pointing form or a two-dimensional map pointing form.

The time node characteristics corresponding to the target trip place node can comprise hotel check-in time and scenic spot visit time.

Specifically, under the condition that the destination mail belongs to the journey node mail, the destination journey node feature, the destination journey node pointing feature and/or the time node feature corresponding to the destination journey node are extracted according to the destination mail information. Wherein the target trip place node characteristic, the target trip place node pointing characteristic, and/or the time node characteristic corresponding to the target trip place node may be stored as structured JSON data. If the target mail is marked as a trip node mail and the target trip node feature is abnormal or failed to be extracted, the mark is removed and the target mail is restored to a normal mail.

Based on the method, the target travel destination node characteristics and the target travel destination node pointing characteristics can be accurately determined according to the target mail information, and/or the time node characteristics corresponding to the target travel destination node provide a data basis for accurately generating the target travel reminding information based on the target travel destination node characteristics and the target travel destination node pointing characteristics and/or the time node characteristics corresponding to the target travel destination node, so that the comprehensiveness and the fineness of the target travel reminding information are improved, and the available value of the target travel reminding information is increased.

In some possible embodiments, the association features of the target traffic mode and the target journey node comprise spatial sequence association features and/or time sequence association features.

The spatial sequence related features can comprise spatial sequence related pointing features of departure cities and arrival cities corresponding to a plurality of trips, spatial sequence related pointing features of traffic modes corresponding to the plurality of trips, spatial sequence related pointing features of check-in hotels corresponding to the plurality of trips and spatial sequence related pointing features of tourist attractions of the plurality of trips. The spatial sequence associated pointing characteristics can comprise geographic coordinate characteristics, distance characteristics, direction characteristics and the like.

The time series related features may include, for example, a time series feature of departure time and arrival time corresponding to a plurality of trips, a time series feature of hotel check-in time and check-out time corresponding to a plurality of trips, a time series feature of departure time and arrival time corresponding to a plurality of trips, and a time series feature of tour time corresponding to a plurality of trips. The time sequence features are used for arranging the specific action sequence of the user, wherein the specific actions comprise taking a target vehicle, leaving a target city, going to the target city, checking in a target hotel, leaving the target hotel, going to a target scenic spot and the like.

The time nodes in the time sequence association feature and the travel nodes in the space sequence association feature can have a one-to-one correspondence relationship so as to improve the ordering of schedule reminding information.

Based on the method, the spatial sequence association characteristics of the target traffic mode and the target travel node can be accurately determined according to the target traffic mode characteristics and the target travel node characteristics, and/or the time sequence association characteristics are beneficial to providing accurate data support for realizing accurate generation of the spatial dimension and/or schedule reminding information of the time dimension.

In some possible embodiments, the step S120, the step of generating the target journey reminding information according to the target journey characteristic information comprises the following steps:

And S121, generating schedule reminding information according to the target traffic mode characteristics and the target journey node characteristics and the time sequence association characteristics, wherein the time sequence association characteristics correspond to the target traffic mode characteristics and the target journey node characteristics one by one.

For example, the target traffic mode feature and the target journey node feature may be ranked according to the time series associated feature to generate a target ranking result. And according to the target sequencing result, adding schedule reminding in the target travel APP of the target electronic equipment of the target user in sequence. The target electronic equipment can comprise a computer, a PAD, a mobile phone, a vehicle terminal and the like. Specifically, the target travel APP may include calendar software, a schedule APP specified by a user, or the like.

For example, the target trip APP may be triggered once every second to detect whether the time displayed by the current clock of the system reaches the reminding time corresponding to the target trip. The reminding time can be determined according to the time corresponding to the target journey and a preset early reminding time period threshold value. The preset early warning period threshold can be customized according to the user requirement.

Specifically, when the train ticket departure time of the target user is 10 months 1 day 12:00, and the preset early reminding period threshold is 2 hours, the reminding corresponding to the target journey is triggered when the reminding service is 10 months 1 day 10:00. And when the current system clock is detected to be displayed as 10 months, 1 day and 10:00 days, adding the journey prompt of the target user into the waiting queue. And under the condition that the target user sets the target journey reminding mode to be a short message mode, inquiring the mobile phone number bound by the target user, and calling a short message gateway to send a short message to the electronic equipment corresponding to the target user. Under the condition that the target user sets the target travel reminding mode as the mail mode, inquiring the mail address bound by the target user, and sending the mail to the electronic mail box corresponding to the target user.

It should be noted that, under the condition that the reminder corresponding to the target trip is sent successfully, the task of issuing the reminder corresponding to the target trip in the waiting queue is deleted. And under the condition that the sending of the reminding corresponding to the target journey fails or the sending queue is full, re-executing the task of issuing the reminding corresponding to the target journey when the next preset polling period. The preset polling period can be defined according to the requirement of the target user.

Based on the method, schedule reminding information can be accurately generated according to the target traffic mode characteristics and the target journey node characteristics and the time sequence association characteristics, automatic generation precision and efficiency of the target journey reminding information are improved, association of the target journey reminding information is improved, journey delay and journey conflict are reduced, probability of a person missing a journey is improved, fusion degree and matching degree among a plurality of journeys are improved, degree of agreement between the person and the journey is improved, and the time sequence association characteristics are in one-to-one correspondence with the target traffic mode characteristics and the target journey node characteristics, so that order of the schedule reminding information is improved.

In some possible embodiments, the step S120, the generating the target journey reminding information according to the target journey characteristic information further comprises:

step S122, generating a target prompt card according to the target traffic mode characteristics, the target journey node characteristics, the spatial sequence association characteristics and/or the time sequence association characteristics.

For example, the above-described target traffic pattern features, target trip node features, spatial sequence association features, and/or temporal sequence association features may be aggregated to generate a primary target hint card.

For example, the secondary target prompt card may also be generated based on the target traffic pattern feature, the target trip node feature, the spatial sequence association feature, or the temporal sequence association feature alone. For example, a target journey node secondary target prompt card is generated according to the target journey node characteristics, wherein the target journey node secondary target prompt card can comprise enterprise LOGO, enterprise name, arrival time, enterprise location, enterprise contact phone and the like. When the target mail information does not include the information, the information may be called from a channel such as an enterprise database or a public number to generate the target route section secondary target presentation card.

In some possible embodiments, the target cue card may be generated according to a timeline. Specifically, the target traffic mode feature, the target journey node feature, and the spatial sequence association feature may be associated with the feature according to a time sequence to form a target timeline. Each target journey node and each target traffic mode can be marked on the target prompt card in the form of an icon, and each target journey node and each target traffic mode can correspondingly generate short text introduction so as to improve the grasping speed and grasping efficiency of a target user on journey related information. The short text description may include time, address, activity content, notes, etc. of each target trip point.

It should be noted that, for key feature information such as departure time node feature, flight feature, hotel check-in feature, etc., the key feature information may be thickened, highlighted with different colors, and/or with different special marks, so as to intuitively and accentuate the key feature information. It should be noted that the key feature information may be selected or set by the target user, which is not limited herein.

In the case that a plurality of target routes or a plurality of target route nodes are involved, the target prompt card may display the target traffic mode feature, the target route node feature, the spatial sequence association feature, and/or the temporal sequence association feature in a map form, so as to intuitively display a relative position, a relative distance, a relative direction, and the like between the target route nodes.

It should be noted that, the target prompt card may also be provided with an interaction control, so as to facilitate information retrieval. The interaction space may be used to facilitate a jump from the current target reminder card interface to an airline company network, a hotel network, and/or a map navigation, among others.

Based on the method, the target prompt card can be accurately generated according to the target traffic mode characteristics, the target journey node characteristics, the spatial sequence association characteristics and/or the time sequence association characteristics, and the method is beneficial to providing convenience for target users to quickly and efficiently master the target journey characteristic information.

In some possible embodiments, the method 100 above further includes:

and step S130, determining target contradiction characteristics according to the target traffic mode characteristics, the target journey node characteristics and/or the association characteristics of the target traffic mode and the target journey node.

And step 140, generating an abnormal prompt according to the target contradiction characteristics.

The method includes the steps that when a crossing period exists between a time node characteristic corresponding to a first target travel node and a time node characteristic corresponding to a second target travel node, and/or when a time difference between the time node characteristic corresponding to the first target travel node and the time node characteristic corresponding to the second target travel node is smaller than a preset time threshold, a target contradiction characteristic is judged to exist, and an abnormal prompt is generated according to the target contradiction characteristic, wherein the abnormal prompt comprises a target travel node corresponding to the target contradiction characteristic and a time node corresponding to the target travel node. The anomaly alert may generate a popup at the target electronic device in the form of an anomaly message alert card. The abnormal reminding can be transmitted to the target user in a voice broadcasting mode.

The preset time threshold may be determined according to a minimum value of distance differences between the first target trip ground node and the second target trip node, congestion degrees of traffic segments between the first target trip ground node and the second target trip node, and corresponding required trip times of multiple traffic modes between the first target trip ground node and the second target trip node.

Specifically, the above-mentioned preset time threshold may be determined according to the following formula:

(1);

Wherein, In order to set the time threshold value in advance,For the distance difference between the first target travel node and the second target travel node,Is the minimum value of the journey time required for the corresponding of the plurality of traffic modes of the target journey node and the second target journey node,For the degree of congestion of the traffic segments between the first target travel node and the second target travel node,As a first weight to be used,As a result of the second weight being set,Is a third weight.

The first weight is as followsSecond weightThird weightSum is 1, wherein the first weightSecond weightThird weightSequentially decreasing.

Based on the method, the target contradiction characteristics can be determined according to the target traffic mode characteristics, the target journey node characteristics and/or the association characteristics of the target traffic mode and the target journey node, and the abnormal reminding can be accurately generated according to the target contradiction characteristics, so that the target user can be reminded of verifying the target journey in time, the target user can be prevented from mutually proposing a plurality of target journeys based on a feedforward mechanism, the fusion degree and the matching degree among the plurality of target journeys are improved, and the journey circulation fluency and the accuracy of the target user are improved.

and step S150, when the fact that the personnel associated with the target journey contains a plurality of personnel is determined, generating an auxiliary prompt card according to the target journey characteristic information corresponding to other personnel.

It should be noted that, when it is determined that the person associated with the target journey includes a plurality of persons according to the traffic category target mail and/or the target journey node mail, an auxiliary prompt card may be generated according to the target journey feature information corresponding to the other persons, so as to inform the target user of journey information of the other peer persons, thereby improving interoperability of the target user and journey information of the other peer persons, and improving coordination of the journey of the target user and journey of the other peer persons.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present application.

The above description of the method embodiments further describes the solution of the present application by means of device embodiments.

In a second aspect of the embodiment of the present application, a processing device for travel mail is provided. Fig. 2 is a schematic structural diagram of a processing device 200 for travel mails according to an embodiment of the application. The apparatus 200 shown in fig. 2 comprises an extraction unit 210, a generation unit 220.

The extracting unit 210 is configured to extract target trip feature information according to target mail information, where the target trip feature information includes a target traffic mode feature, a target trip node feature, and/or a target association feature of a target traffic mode and a target trip node;

The generating unit 220 is configured to generate target trip reminding information according to the target trip characteristic information.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the described method may refer to corresponding procedures in the foregoing system embodiments, which are not described herein again.

According to a third aspect of the present application, there is also provided an electronic device. Fig. 3 is a schematic structural diagram of an electronic device 300 according to an embodiment of the present application.

As shown in fig. 3, the electronic device 300 includes a Central Processing Unit (CPU) 301 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage section 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the terminal device or the server are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other through a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

Connected to the I/O interface 305 are an input section 306 including a keyboard, a mouse, and the like, an output section 307 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like, a storage section 308 including a hard disk, and the like, and a communication section 309 including a network interface card such as a LAN card, a modem, and the like. The communication section 309 performs communication processing via a network such as the internet. The drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 310 as needed, so that a computer program read therefrom is installed into the storage section 308 as needed.

In particular, the above method flow steps may be implemented as a computer software program according to an embodiment of the application. For example, embodiments of the application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 309, and/or installed from the removable medium 311. The above-described functions defined in the system of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 301.

The computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of a computer-readable storage medium may include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units or modules involved in the embodiments of the present application may be implemented in software or in hardware. The described units or modules may also be provided in a processor. Wherein the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.

The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application is not limited to the specific combinations of the features described above, but also covers other embodiments which may be formed by any combination of the features described above or their equivalents without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in the present application are replaced with each other.

Claims

1. A method for processing travel emails, comprising:

Extracting target trip feature information according to the target email information, wherein the target trip feature information includes: target transportation mode features, target trip node features and/or target association features between the target transportation mode and the target trip node;

Generate target trip reminder information according to the target trip characteristic information.

2. The method for processing travel emails according to claim 1, characterized in that before extracting travel feature information according to the target email information, the method further comprises:

Determine the target emails based on the target keywords and/or target domain names;

A target cleaning operation is performed on the target mail to generate the target mail information.

3. The method for processing travel emails according to claim 2, wherein extracting travel feature information according to target email information comprises:

Identify the target mail information to determine the target transportation mode characteristics;

The target traffic mode characteristics include:

The class number characteristics corresponding to the target transportation mode, the time node characteristics associated with the target transportation mode, the starting and ending node characteristics corresponding to the target transportation mode, and/or the safety assessment characteristics corresponding to the target transportation mode.

4. The method for processing travel emails according to claim 3, wherein extracting travel feature information according to target email information further comprises:

Identify the target email information to determine the target trip node characteristics;

The target trip node features include:

Target itinerary node characteristics, target itinerary node pointing characteristics, and/or, time node characteristics corresponding to the target itinerary node.

5. The method for processing travel emails according to claim 4, wherein the association characteristics between the target transportation mode and the target travel node include:

Spatial series correlation features, and/or, time series correlation features.

6. The method for processing travel emails according to claim 5, wherein generating target travel reminder information according to the target travel feature information comprises:

Schedule reminder information is generated according to the target traffic mode characteristics, the target trip node characteristics, and the time series association characteristics, wherein the time series association characteristics correspond one-to-one to the target traffic mode characteristics and the target trip node characteristics.

7. The method for processing travel emails according to claim 6, wherein generating target travel reminder information according to the target travel feature information further comprises:

A target prompt card is generated according to the target transportation mode characteristics, the target trip node characteristics, the spatial sequence association characteristics, and/or the time series association characteristics.

8. The method for processing travel emails according to any one of claims 1 to 7, characterized in that the method further comprises:

When it is determined that there are multiple persons associated with the target trip,

An auxiliary reminder card is generated according to the target itinerary characteristic information corresponding to other persons.

9. A device for processing travel mails, comprising:

An extraction unit is used to extract target trip feature information according to the target email information, wherein the target trip feature information includes: target transportation mode features, target trip node features and/or target association features of the target transportation mode and the target trip node;

A generating unit is used to generate target trip reminder information according to the target trip characteristic information.

10. An electronic device, characterized in that it comprises: a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions are used by the processor to execute the method for processing travel emails as described in any one of claims 1 to 8 when the processor is running.