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A full-text search intelligent sorting method for job-seeking website

A full-text search and intelligent sorting technology, which is applied in digital data information retrieval, special data processing applications, instruments, etc., can solve the problems of job seekers missing good opportunities, low job exposure, and reducing job seeker experience, achieving exposure increased effect

Inactive Publication Date: 2019-01-18
安徽网才信息技术股份有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The current ranking of job search results is all about how to rank the ones that best meet the needs of job seekers. It does not take into account the fact that job seekers click delivered or browsed multiple times during continuous job hunting, which reduces the job seeker experience.
At the same time, it did not take into account the low frequency of job refreshes in some companies, and it is difficult for job seekers to turn to the back of the sorting list to view, resulting in low exposure of jobs and missing good opportunities for job seekers.

Method used

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  • A full-text search intelligent sorting method for job-seeking website

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Embodiment Construction

[0013] Such as figure 1 As shown, a method for intelligent sorting of full-text search for jobs on a job-seeking website, the specific steps are as follows:

[0014] Step S101: The job seeker uses full-text search to search for jobs, and proceeds to step S201; if there is a browsing record or the job seeker also has a posting record in the login state, proceed to S301 at the same time;

[0015] Step S201, use the Lucence-based solr search engine for full-text search, set different weights for search objects, and modify the weight calculation method of solr at the same time, so that the weights of repeated words will not accumulate, such as searching for 'sales' in the job title 'sales' Manager' and 'Sales Manager (High Salary Sales Position)' have the same weight. Then perform comprehensive sorting according to the weight of the search results and the update of the position, and use the weight sorting first, and sort according to the update time of the position when the weigh...

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Abstract

The invention discloses a full-text search intelligent sorting method for job-seeking website, including job searching, and intelligently sorting according to a comprehensive ranking of weights, a record of job searched by a job seeker, a job seekers' submitting record, which not only solves the problem of ranking the jobs that best meet the needs of job seeker, but also solves the problem that job seeker can find jobs quickly and efficiently without repeatedly viewing the submitted or browsed jobs when searching for jobs for a continuous period of time. At the same time, each enterprise position exposure can maximally increased, the high exposure of some enterprise positions and no exposure of some enterprise positions are reduced.

Description

technical field [0001] The invention relates to the technical field of network recruitment systems, in particular to an intelligent sorting method for full-text search of positions on a job-seeking website. Background technique [0002] The current ranking of job search results is all about how to rank the ones that best meet the needs of job seekers. It does not take into account the fact that job seekers click delivered or browsed multiple times during continuous job hunting, which reduces the job seeker experience. At the same time, it did not take into account the low frequency of job refreshes in some companies. It is difficult for job seekers to scroll to the back of the ranking to view, resulting in low job exposure and missing good opportunities for job seekers. Contents of the invention [0003] The purpose of the present invention is to provide an intelligent sorting method for full-text search of jobs on a job-seeking website in order to make up for the defects ...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
Inventor 何德球李孝刚
Owner 安徽网才信息技术股份有限公司
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