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Bidirectional employment recommendation method and device based on data portrait

A recommendation method and portrait technology, applied in data mining, data processing applications, electronic digital data processing, etc., can solve the problems of whether job seekers can be affected by interview invitations, not static, job seekers redundancy, etc., so as to reduce delivery risks. , the effect of reducing time and enhancing interpretability

Active Publication Date: 2021-07-02
DAREWAY SOFTWARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventor found that the above-mentioned related algorithm did not take into account the following two problems: the first problem, job seekers' requirements for positions are not static Yes, it will change over time; when changes occur, recommendations based on original registration information or original similar groups are redundant information for job seekers
The second question is that the preference of human resources will have a certain impact on whether a job seeker can get an interview invitation

Method used

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  • Bidirectional employment recommendation method and device based on data portrait
  • Bidirectional employment recommendation method and device based on data portrait
  • Bidirectional employment recommendation method and device based on data portrait

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0034] Such as figure 1 As shown, this embodiment provides a two-way employment recommendation method based on data portraits, which includes:

[0035] Step 1: Obtain user data, position data, and log data, and correspondingly extract the basic information of users, basic information of positions, and user and human resources behavior information.

[0036] In a specific implementation, the user data includes the basic information of the user and user behavior information. This information is divided into structural information and non-structural information. The structural information includes name, age, gender, working years, salary, and education. These need to be cleaned and deduplicated, and the missing values ​​​​are supplemented by using the average value of the same attribute of registered users. ; Simultaneously, segment the user's non-structural information (wherein, the non-structural information includes short text information such as self-evaluation, hobbies, rema...

Embodiment 2

[0066] Such as figure 2 and image 3 As shown, this embodiment provides a two-way employment recommendation device based on data portraits, which includes:

[0067] (1) A data acquisition module, which is used to acquire user data, post data and log data, and correspondingly extract the basic information of the user, the basic information of the post, and the information of the user and human resource behavior.

[0068] In this embodiment, the data acquisition module includes a user data module 101 , a post data module 102 , and a log module 103 .

[0069] Among them, the user data module 101: mainly responsible for processing and saving the basic information of the user, the user data module 101 is jointly completed by the user data cleaning module 1011 and the user data storage module 1012; wherein,

[0070] User data cleaning module 1011: used to clean and de-duplicate the user's structural information (including name, age, gender, working years, salary, education), and ...

Embodiment 3

[0119] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the above-mentioned two-way employment recommendation method based on data portraits are implemented.

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Abstract

The invention belongs to the field of data recommendation, and provides a bidirectional employment recommendation method and device based on data portraits. The method comprises the following steps: acquiring user data, post data and log data, and correspondingly extracting basic information of a user, basic information of a post and user and human resource behavior information; forming basic tags and behavior tags of a user and a post based on a data model of a self-defined portrait tag and calculation tasks of corresponding tags under different data source conditions, and then obtaining a user portrait and a post portrait; according to the influence of the information amount contained in the basic information and the behavior information on the corresponding portraits, setting the weights of the basic information and the behavior information, then calculating the matching degree of the user and the post portraits through the weighted basic information and behavior information, sorting according to behavior labels, and forming a recommendation list.

Description

technical field [0001] The invention belongs to the field of data recommendation, and in particular relates to a data portrait-based two-way employment recommendation method and device. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The emergence of the employment recommendation system is to help job seekers and enterprises quickly and accurately obtain the required content from massive and complex data. The main algorithms include content-based algorithms and collaborative filtering algorithms. Content-based algorithms recommend based on the registration information of job seekers; while collaborative filtering algorithms obtain matching job information based on similar groups of job seekers or original job postings, and then make recommendations. [0004] The inventors found that the above mentioned related algorithm did not take into ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9538G06Q10/10
CPCG06F16/9535G06F16/9538G06Q10/1053G06F2216/03
Inventor 钱进赵静于秋波巫双果刘坤杨栋张龙
Owner DAREWAY SOFTWARE
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