Open Access
Subscription Access
Open Access
Subscription Access
Recruitment Assisting Platform
Subscribe/Renew Journal
This paper presents an idea of segregating resumes into different classes or groups. As we know there are many different classes or groups in every small or big scale organization. These classes or groups must be utilized to enhance the Resume based search Engine, since many application or resume arrives to recruiters. This creates a recommender system which will prompt the recruiter with the skills related to the filters provided to enhance the search. Association based mining is used in which recruiter just needs to provide the post or position in the organization and the tool should provide the recommended candidates.
Keywords
Recruitment Assisting Platform; Job-resume Matching; Candidate‟s Screening; Structured Profiles: Topic Modelling; Latent Dirichlet Allocation.
User
Subscription
Login to verify subscription
Font Size
Information
- Claus Boye Asmussen and Charles Møller. Smart literature review: a practical topic modelling approach to exploratory literature review. Journal of Big Data, 6(1):93, 2019.
- Shivam Bansal, Aman Srivastava, and Anuja Arora. Topic modeling driven content based jobs recommendation engine for recruitment industry. Procedia computer science, 122:865–872, 2017.
- Evanthia Faliagka, Kostas Ramantas, Athanasios Tsakalidis, and Giannis Tzimas. Application of machine learning algorithms to an online recruitment system. In Proc. International Conference on Internet and Web Applications and Services. Citeseer, 2012.
- Hamed Jelodar, Yongli Wang, Chi Yuan, Xia Feng, Xiahui Jiang, Yanchao Li, and Liang Zhao. Latent dirichlet allocation (lda) and topic modeling: models, applications, a survey. Multimedia Tools and Applications, 78(11):15169–15211, 2019.
- Aseel B Kmail, Mohammed Maree, Mohammed Belkhatir, and Saa- dat M Alhashmi. An automatic online recruitment system based on exploiting multiple semantic resources and concept-relatedness measures. In 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), pages 620–627. IEEE, 2015.
- Zhou Tong and Haiyi Zhang. A text mining research based on lda topic modelling. In Proceedings of the Sixth International Confer- ence on Computer Science, Engineering and Information Technology (CCSEIT), pages 21–22, 2016.
- Abeer Zaroor, Mohammed Maree, and Muath Sabha. Jrc: A job post and resume classification system for online recruitment. In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), pages 780–787. IEEE, 2017.
Abstract Views: 147
PDF Views: 0