A Staffing Recommender System based on Domain-Specific Knowledge Graph
Author:
Affiliation:
1. Direction of Research and Innovation Capgemini Engineering,Velizy-Villacoublay,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9732060/9731845/09732087.pdf?arnumber=9732087
Reference27 articles.
1. End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT;bhatia;ArXiv Preprint,2019
2. Job Descriptions Keyword Extraction using Attention based Deep Learning Models with BERT
3. Towards a definition of knowledge graphs;ehrlinger;SEMANTiCS (Posters Demos SuCCESS),2016
4. Wikidata
5. Adding realtime coverage to the google knowledge graph;steiner;11th International Semantic Web Conference,0
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automated Resume Parsing: A Natural Language Processing Approach;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02
2. Leveraging K-hop based Graph for the Staffing Recommender System with Parametric Geolocation;2022 International Conference on Computational Science and Computational Intelligence (CSCI);2022-12
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