CN-121996834-A - Resume searching method, device, equipment and storage medium

Abstract

The disclosure provides a resume searching method, device, equipment and storage medium, wherein the method comprises the steps of obtaining search words and search conditions of a specific industry input by a user; based on the search word and the search condition, identifying the search intention of the user, searching a resume matched with the search intention from a pre-constructed resume library to serve as a target resume, pushing and displaying the target resume, storing word segmentation indexes of a plurality of resume in the resume library, and constructing the word segmentation index of each resume based on a pre-constructed professional word library of a specific industry. According to the method and the device, the resume is segmented based on the professional word stock of the specific industry, the vocabulary data of the specific industry can be accurately segmented from the resume, and the word segmentation index of the resume is constructed based on the segmented vocabulary data, so that when the resume search is carried out, the identified search intention can be compared with the accurate vocabulary data of the specific industry recorded in the word segmentation index of each resume, and the accurate search of the resume of the specific industry is realized.

Inventors

• ZHOU CHUO
• WANG DONG

Assignees

• 周荃

Dates

Publication Date

20260508

Application Date

20241121

Claims (10)

1. 1. A resume search method, comprising: Acquiring search words and search conditions of a specific industry input by a user; identifying a retrieval intention of a user based on the search term and the search condition; Searching a resume matched with the search intention from a pre-built resume library to serve as a target resume, and pushing and displaying the target resume; The resume library is stored with word segmentation indexes of a plurality of resume, and the word segmentation index of each resume is constructed based on a pre-constructed professional word library of the specific industry.
2. 2. The method of claim 1, wherein when constructing the industry-specific professional thesaurus, comprising: acquiring literature data of the specific industry; screening out the vocabulary data of the specific industry from the literature data, and constructing a word segmentation word stock based on the vocabulary data; semantic understanding is carried out on the context where the vocabulary data are located, synonyms of the vocabulary data are obtained, and a synonym word stock is built based on the synonyms of the vocabulary data; And combining the word segmentation word stock and the synonym word stock to obtain a professional word stock of the specific industry.
3. 3. The method according to claim 1, wherein when constructing a word segmentation index of a resume based on a professional word stock of the specific industry, comprising: Word segmentation is carried out on the resume based on the professional word stock of the specific industry, and a word segmentation result of the resume is obtained; Matching the word segmentation result of the resume to related key fields defined in a pre-constructed word segmentation index mode to obtain the word segmentation index of the resume.
4. 4. The method of claim 3, further comprising compressing the word segmentation index of the resume after the word segmentation index of the resume is obtained, and storing the compressed word segmentation index in the resume library.
5. 5. The method of claim 1, wherein, when identifying a retrieval intent of a user based on the search term and the search condition, based on a pre-constructed intent identification model implementation.
6. 6. The method of claim 1, further comprising, when pushing the target resume for display: Acquiring the liveness of a user to which the target resume belongs; rearranging the target resume based on the activity of the user; Pushing and displaying the rearrangement result of the target resume.
7. 7. The method of claim 1, wherein the step of obtaining search terms for a particular industry entered by a user further comprises the step of optimizing the search terms.
8. 8. A resume search device, comprising: the data input module is used for acquiring search words and search conditions of a specific industry input by a user; An intention recognition module for recognizing a retrieval intention of a user based on the search term and the search condition; the resume searching module is used for searching a resume matched with the retrieval intention from a resume library constructed in advance to serve as a target resume, and pushing and displaying the target resume; The resume library is stored with word segmentation indexes of a plurality of resume, and the word segmentation index of each resume is constructed based on a pre-constructed professional word library of the specific industry.
9. 9. A resume search apparatus, comprising: A processor; A memory for storing processor-executable instructions; Wherein the processor is configured to implement the method of any one of claims 1 to 7 when executing the executable instructions.
10. 10. A non-transitory computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of claims 1 to 7.

Description

Resume searching method, device, equipment and storage medium Technical Field The disclosure relates to the technical field of data processing, and in particular relates to a resume searching method, device, equipment and storage medium. Background At present, recruitment websites commonly utilize full-text search engines such as Lucene and Solr to assist enterprise recruitment processes, and quick search is realized by comprehensively indexing job seeker resume. However, the current search technology is difficult to accurately identify the professional terms in the resume, especially in specific industries, so that the enterprise is difficult to acquire the candidate resume meeting the recruitment requirement when using the recruitment platform to search the resume in the specific industry, and the search quality is poor. Therefore, how to realize accurate search of the resumes of the specific industry is a technical problem to be solved by the person skilled in the art. Disclosure of Invention In view of this, the disclosure provides a resume search method, device, apparatus and storage medium, which can improve accuracy of resume search in specific industries. According to a first aspect of the present disclosure, there is provided a resume search method including: Acquiring search words and search conditions of a specific industry input by a user; identifying a retrieval intention of a user based on the search term and the search condition; Searching a resume matched with the search intention from a pre-built resume library to serve as a target resume, and pushing and displaying the target resume; The resume library is stored with word segmentation indexes of a plurality of resume, and the word segmentation index of each resume is constructed based on a pre-constructed professional word library of the specific industry. In one possible implementation, when constructing the specialized word stock of the specific industry, the method includes: acquiring literature data of the specific industry; screening out the vocabulary data of the specific industry from the literature data, and constructing a word segmentation word stock based on the vocabulary data; semantic understanding is carried out on the context where the vocabulary data are located, synonyms of the vocabulary data are obtained, and a synonym word stock is built based on the synonyms of the vocabulary data; And combining the word segmentation word stock and the synonym word stock to obtain a professional word stock of the specific industry. In one possible implementation, when constructing the word segmentation index of the resume based on the professional word stock of the specific industry, the method includes: Word segmentation is carried out on the resume based on the professional word stock of the specific industry, and a word segmentation result of the resume is obtained; Matching the word segmentation result of the resume to related key fields defined in a pre-constructed word segmentation index mode to obtain the word segmentation index of the resume. In one possible implementation manner, after the word segmentation index of the resume is obtained, the method further comprises the steps of compressing the word segmentation index of the resume and storing the compressed word segmentation index into the resume library. In one possible implementation, when identifying a search intention of a user based on the search term and the search condition, the implementation is based on a pre-built intention identification model. In one possible implementation manner, when the target resume is pushed and displayed, the method further includes: Acquiring the liveness of a user to which the target resume belongs; rearranging the target resume based on the activity of the user; Pushing and displaying the rearrangement result of the target resume. In one possible implementation, when acquiring search words of a specific industry input by a user, the method further comprises the operation of optimizing the search words. According to a second aspect of the present disclosure, there is provided a resume search apparatus including: the data input module is used for acquiring search words and search conditions of a specific industry input by a user; An intention recognition module for recognizing a retrieval intention of a user based on the search term and the search condition; the resume searching module is used for searching a resume matched with the retrieval intention from a resume library constructed in advance to serve as a target resume, and pushing and displaying the target resume; The resume library is stored with word segmentation indexes of a plurality of resume, and the word segmentation index of each resume is constructed based on a pre-constructed professional word library of the specific industry. According to a third aspect of the present disclosure there is provided a resume search device comprising a processor, a memory for storing process