A talent service bidirectional recommendation method and system based on Internet big data

Abstract

A talent service two-way recommendation method based on Internet big data comprises a data access module, a data matching calculation cluster and a data distribution module, wherein a job hunting andrecruitment behavior database and a resume position business database are arranged in the data access module; an active user cache, a data text analysis result cache, a job seeker matching arithmeticunit and a position matching arithmetic unit are arranged in the data matching calculation cluster; and a data distribution module is provided with a result database. The method comprises the specificimplementation steps of 1 data understanding; 2 data cleaning; 3 selecting and evaluating features; 4 calculating and storing; 5recommending;6 increasing and updating the data. According to the method, the behaviors of the user are captured, the talent and position information is collected in real time, the real-time accurate matching of mass resumes and position data is achieved, the positions more conforming to intentions of job seekers can be recommended to the user, and the service efficiency is greatly improved.

Description

technical field [0001] The invention is a two-way recommendation method and system, in particular a talent service two-way recommendation method and system based on Internet big data, belonging to the technical field of commercial services. Background technique [0002] The Internet talent service industry is a hot industry in recent years. The core content of the service is to quickly and accurately connect suitable talents with careers. At present, the search for talents and positions mainly relies on the search function of the service platform, which requires manual screening. , It takes a lot of manpower and material resources, and the final screening result is also a rough result. It cannot recommend talents to enterprises and recommend suitable positions to individuals. Under such circumstances, the reciprocity model is even more difficult to achieve. Contents of the invention [0003] The purpose of the present invention is to provide an efficient and accurate talen...

AI Technical Summary

Problems solved by technology

[0002] The Internet talent service industry is a hot industry in recent years. The core content of the service is to quickly and accurately connect suitable talents with careers. At present, the search for talents and positions mainly relies on the search function of the service platform, which requires manual screening. , it takes a lot of manpower and material resources, and the final screening result is also a rough result. It cannot recommend talents to enterprises and recommend suitable positions to individuals. Under such circumstances, the reciprocity model is even more difficult to achieve.

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