CN111581504A - A method and system for pushing industry information based on big data - Google Patents

Abstract

The invention discloses an industry information pushing method and system based on big data, comprising the following steps: analyzing the employment characteristics of the user through the user information and the user behavior; screening industry information matched with the employment characteristics of the user in an industry database storing the industry information according to the employment characteristics of the user; uniformly processing the screened industry information, and performing data conversion and distribution; pushing the industry information to a mobile client, and storing a pushing record; according to the invention, the employment characteristics of the user can be analyzed according to the user information and the user behavior, and the matched employment information is screened and pushed to the user, so that the query efficiency of the user is improved, the use difficulty of the user is reduced, and the user experience is enhanced; the invention can be used for industry pushing.

Description

A method and system for pushing industry information based on big data

technical field

The invention relates to the technical field of big data information push, in particular to a big data-based industry information push method and system.

Background technique

Big data, or huge amount of data, refers to the amount of data involved that is too large to be captured, managed, processed, and organized within a reasonable time through current mainstream software tools to help companies make more positive business decisions. information. With the development of the Internet, more and more users are looking for industry information on the Internet. At present, the amount of industry information on the Internet is huge, and users often need to obtain the information they need from a large amount of complicated information. Finding information is inefficient and difficult, which seriously affects the user experience.

SUMMARY OF THE INVENTION

The purpose of the present invention is to propose a method and system for pushing industry information based on big data, so as to solve one or more technical problems existing in the prior art, and at least provide a beneficial choice or create conditions.

The technical solution adopted to solve the above technical problems: a method for pushing industry information based on big data, the method includes:

S100, analyzing the user's employment characteristics through user information and user behavior; screening industry information matching the user's employment characteristics in an industry database storing industry information according to the user's employment characteristics;

S200. Perform unified processing on the screened industry information, and perform data conversion and distribution; push the industry information to the mobile client, and save the push record.

As a further improvement of the above technical solution, the specific method of screening in step S100 is: set screening conditions for each table in the industry database to search, and save the search results as the next search conditions.

As a further improvement of the above technical solution, the user information in step S100 includes enterprise user information and employment user information.

As a further improvement of the above technical solution, the user behavior in step S100 includes: user browsing behavior information and user search behavior information.

As a further improvement of the above technical solution, the unified processing of the screened industry information in step S200 is specifically: retaining the screened industry information that satisfies the matching degree with the user's employment characteristics, and arranging the selected industry information according to the matching degree from high to low industry information.

An industry information push system based on big data includes: a user analysis module, a screening module, an information processing module and a push module.

The user analysis module is used to analyze user employment characteristics through user information and user behavior.

The screening module is used for screening industry information matching the user's employment characteristics in the industry database according to the user's employment characteristics.

The information processing module is used for unified processing of the retrieved industry information, and data conversion and distribution.

The push module is used to push industry information to the mobile client and save the push records.

Beneficial effects of the present invention: the present invention can analyze user employment characteristics according to user information and user behavior, and screen matching employment information and push it to the user, thereby improving the user's query efficiency, reducing the user's difficulty in use, and enhancing user experience.

Additional aspects and advantages of the present invention will be set forth, in part, from the following description, and in part will be apparent from the following description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of embodiments taken in conjunction with the accompanying drawings, wherein:

FIG. 1 is a flowchart of a method and system for pushing industry information based on big data provided by the present invention.

Detailed ways

The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

In the description of the present invention, it should be understood that the azimuth description, such as the azimuth or position relationship indicated by up, down, front, rear, left, right, etc., is based on the azimuth or position relationship shown in the drawings, only For the convenience of describing the present invention and simplifying the description, it is not indicated or implied that the system or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and therefore should not be construed as a limitation of the present invention.

In the description of the present invention, the meaning of several is one or more, the meaning of multiple is two or more, greater than, less than, exceeding, etc. are understood as not including this number, above, below, within, etc. are understood as including this number. If it is described that the first and the second are only for the purpose of distinguishing technical features, it cannot be understood as indicating or implying relative importance, or indicating the number of the indicated technical features or the order of the indicated technical features. relation.

In the description of the present invention, unless otherwise clearly defined, words such as setting, installation, connection should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above words in the present invention in combination with the specific content of the technical solution.

Please refer to FIG. 1, a method for pushing industry information based on big data, the method includes the following steps:

S100, analyzing the user's employment characteristics through user information and user behavior; screening industry information matching the user's employment characteristics in an industry database storing industry information according to the user's employment characteristics;

Preferably, the industry information includes a company information table and an occupation information table, and the company information table corresponds to the occupation information table; the company information table includes a company name table, a company timetable, a company location table and a company introduction table; the occupation information table includes an occupation name Form, job introduction form and occupation requirement form. The industry database is updated in real time.

Wherein, the specific method of screening is as follows: setting screening conditions for each table in the industry database to search, and saving the search results as the next search conditions.

Preferably, the user information includes enterprise user information and employment user information; employment user information includes: personnel information, interest feature information, company information, experience information and certificate information; personnel information includes user name, gender, contact information and address and other information.

Preferably, the user behavior includes: user browsing behavior information and user search behavior information.

In one embodiment, each vocabulary can be divided into multi-level vocabulary according to the complexity. Each vocabulary contains two fields, the first field is the word field, the second field is the corresponding value field, the word field records the words in the above vocabulary, and the value field records the index value corresponding to the word , the index value refers to a specific value corresponding to the keyword, and the corresponding industry information content can be searched according to the index value. When searching for keywords in the keyword set in the conditional vocabulary, fuzzy matching is performed first. For example, the keyword "Tianhe District" can be matched with "Tianhe" in the vocabulary. When searching, fuzzy matching can be performed between keywords and words in the already searched vocabulary, which can avoid repeated search of the vocabulary. When searching, each keyword can be matched with the words in each first-level vocabulary (including the first-level time vocabulary, the first-level space vocabulary, the first-level attribute vocabulary, etc.), and there is no match in the first-level vocabulary. When the corresponding word is reached, it can be matched in the secondary vocabulary, and so on. According to the searched keywords and index values in the condition word list, the condition category to which the keywords in the information input by the user belong can be obtained.

S200. Perform unified processing on the screened industry information, and perform data conversion and distribution; push the industry information to the mobile client, and save the push record.

Specifically, the unified processing of the screened industry information is as follows: retaining the screened industry information that satisfies the matching degree with the user's employment characteristics, and arranging the screened industry information according to the matching degree from high to low.

As the optimization method of the above embodiment, the user obtains user information after the mobile client or query terminal is successfully registered; the user information includes enterprise user information and employment user information. The employment user information obtains the interest characteristics of the industries and positions involved in the employment; it can match and recommend relevant employment information according to the user's interest characteristics, and recommend related companies or related occupations according to the user's interest characteristics.

The industry information in the database has a feature tag, and according to the matching degree between the feature tag and the interest feature, the industry information satisfying the matching degree is recommended to the user as the industry information corresponding to the interest feature.

As the optimization method of the above-mentioned embodiment, the unified processing converts the acquired employment information into a corresponding transmission format and distributes it to lower-level users; the unified standard can speed up the transmission efficiency, and is convenient to improve the scalability and general use in the later stage. sex.

An industry information push system based on big data includes: a user analysis module, a screening module, an information processing module and a push module.

The user analysis module is used to analyze user employment characteristics through user information and user behavior.

The screening module is used for screening industry information matching the user's employment characteristics in the industry database according to the user's employment characteristics.

The information processing module is used for unified processing of the retrieved industry information, and data conversion and distribution.

The push module is used to push industry information to the mobile client and save the push records.

Preferably, when in use, the user queries the industry data information in the platform through the user's mobile terminal for querying data information, the user analysis module records and analyzes the user information, the user's browsing website, and search records, and the user analysis module records and analyzes user behavior information such as user Downloading information, user’s web page stay time, and user’s added favorite information are recorded and saved, which is conducive to ensuring the accuracy of later information push, making the industry information push system based on big data have the function of user behavior recording; the screening module cooperates with the user analysis module , determine the relevant information required by the user, the information download module generates the text data of the information required by the user, the link generation module generates the web page link of the relevant data, and the push module is used to push the text information and web page links required by the user to the user, with text information With link push function, easy to use.

The invention can analyze the user's employment characteristics according to the user information and user behavior, and filter the matching employment information and push it to the user, so as to improve the user's query efficiency, reduce the user's difficulty in use, and enhance the user experience.

The embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned embodiments. Within the scope of knowledge possessed by those of ordinary skill in the technical field, various modifications can be made without departing from the purpose of the present invention. kind of change.

Claims (6)

1. A big data-based industry information pushing method is characterized in that: the method comprises the following steps:

s100, analyzing employment characteristics of the user through user information and user behaviors; screening industry information matched with the employment characteristics of the user in an industry database storing the industry information according to the employment characteristics of the user;

s200, uniformly processing the screened industry information, and performing data conversion and distribution; and pushing the industry information to the mobile client, and storing a pushing record.

2. The industry information pushing method based on big data as claimed in claim 1, wherein: the specific method for screening in step S100 is: and setting a screening condition for each table in the industry database to search, and storing a search result as a next search condition.

3. The industry information pushing method based on big data as claimed in claim 1, wherein: the user information in step S100 includes enterprise user information and employment user information.

4. The industry information pushing method based on big data as claimed in claim 1, wherein: the user behavior in step S100 includes: user browsing behavior information and user search behavior information.

5. The industry information pushing method based on big data as claimed in claim 1, wherein: the step S200 of uniformly processing the screened industry information specifically includes: and reserving the screened industry information meeting the matching degree of the employment features of the user, and arranging the screened industry information from high to low according to the matching degree.

6. The utility model provides an industry information push system based on big data which characterized in that: the method comprises the following steps:

the user analysis module is used for analyzing the employment characteristics of the user through the user information and the user behavior;

the screening module is used for screening the industry information matched with the employment characteristics of the user in an industry database according to the employment characteristics of the user;

the information processing module is used for uniformly processing the called industry information and performing data conversion and distribution;

and the pushing module is used for pushing the industry information to the mobile client and storing the pushing record.

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