Resume retrieval method and device

A resume and retrieval module technology, applied in the Internet field, can solve problems such as difficult to accurately search resumes, input content, cumbersome searches, etc.

Active Publication Date: 2018-12-11
北京全聘致远科技有限公司
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 3. Some other websites have further enhanced the search experience, but it is still the traditional way to search resumes by specifying field content
[0007] The disadvantage of the above traditional solutions is that the search is cumbersome, it is difficult to accurately search for resumes, and it is not possible to use the one-box search method to conveniently input content, and predict user needs through data analysis, display similar positions, similar companies, skill tags, etc.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Resume retrieval method and device
  • Resume retrieval method and device
  • Resume retrieval method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] join figure 1 A flow chart of a resume retrieval method is shown, and the method is applied to specifically include the following steps:

[0043] S101. Receive keywords input by the user;

[0044] Specifically, the user inputs multiple words as keywords in the search box, separates them with spaces, and clicks Search.

[0045] S102. Search according to the keyword, obtain and display the first search result;

[0046] Specifically, the words input by multiple users are divided by blank spaces, and each word is analyzed and judged by a separate big data (SVM model training). The words can be divided into the following categories, companies, positions, and schools. The category is determined by the result with the highest probability of occurrence among the analysis results of the individual big data analysis.

[0047] S103. Set a secondary screening category according to the category corresponding to the keyword;

[0048] The corresponding rules between keywords and s...

Embodiment 2

[0053] join figure 2 Shown is a flow chart of resume retrieval, the method is implemented on the basis of resume retrieval provided in Embodiment 1, and specifically includes the following steps:

[0054] S201. Receive keywords input by the user, where the keywords include company name, job title, school name or a collection of the above, etc.;

[0055] S202. Search according to the keyword, obtain and display the first search result;

[0056] S203. Set the secondary screening category according to the category corresponding to the keyword;

[0057] In the embodiment of the present invention, the specific corresponding rules refer to image 3 As shown, the keywords are image 3 Search keywords in , the category of the secondary filter is image 3 The dynamic filter conditions in , the details are as follows:

[0058] 1) When the keyword is a company name, the categories of the secondary screening are employment status, similar companies and functions.

[0059] Specificall...

Embodiment 3

[0068] For the method for retrieving resumes provided in the foregoing embodiments, the embodiment of the present invention provides a device for retrieving resumes, see Figure 4 A structural block diagram of a device for resume retrieval shown, the device includes the following parts:

[0069] Receiving module 41, is used for receiving the keyword of user input;

[0070] The first retrieval module 42 is configured to perform retrieval according to the keywords, and obtain and display the first retrieval result;

[0071] Setting module 43, for setting the category of secondary screening according to the category corresponding to the keyword;

[0072] The second retrieval module 44 is configured to receive the user's selection of the secondary screening category, and obtain and display the second retrieval result according to the user's selection of the secondary screening category.

[0073] Further, the setting module 43 is also used for when the keyword is a company name, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a resume retrieval method and device. The method includes: receiving keywords inputted by a user; performing retrieving according to the keyword to obtain and display a first retrieval result; setting a category of secondary screening according to the category corresponding to the keyword; receiving the selection of the secondary filtering category by the user, and obtainingand displaying the second retrieval result according to the selection of the secondary filtering category by the user. A resume intelligent screening mode is adopted, which is one-box search + secondary dynamic screening, through the dynamic perception of the content input by the user, the related content of the secondary search is intelligently recommended, and the invention is used for the resume secondary screening mode of the user.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a resume retrieval method and device. Background technique [0002] With the development of Internet technology, resume search can effectively perceive the input content through new technologies, and predict the conditions that users most want to search through big data learning and analysis, and assist users to find suitable candidates more accurately and quickly. [0003] Existing mainstream recruitment website resume search still stays in the way of querying according to fixed fields. The current search mode of mainstream websites is: [0004] 1. The user enters content in the specified field, such as related words, place of residence, education choice, company and other field searches. [0005] 2. Some recruitment websites use the same traditional method, the user enters the content of the specified field and clicks on the query to search. [0006] 3. Some othe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 储紫光高奋飞王博
Owner 北京全聘致远科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap