JRHDLSI: An Approach Towards Job Recommendation Hybridizing Deep Learning and Semantic Intelligence
- Title
- JRHDLSI: An Approach Towards Job Recommendation Hybridizing Deep Learning and Semantic Intelligence
- Creator
- Deepak G.; Sawarn S.; Priyadarshini S.
- Description
- The requirement of the job for people and employees for employers are al-ways in demand. This is due to the lack of proper infrastructure to reduce the unmatching job application for employers and inappropriate job recommendations for people. This chapter proposes a strategic framework with machine learning and knowledge integration to increase accuracy in the provided recommendations and increase the chance of getting a job offer. The usage of'user's search data intends job recommended more in liking of the users, and the machine learning helps in finding the accurate job recommendation. The machine learning technique used here is Radial Basis Function Neural Net-work for the classification and Knowledge Integrated using Analysis of Variance - Web Point Wise Mutual Information and Kullback Leibler (KL) divergence. All the job providers ads are retrieved from the top websites using beautiful soup. The proposed JRHDLSI architecture achieved an accuracy of 94.99% which outperformed the baseline models and was much superior. 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
- Source
- CEUR Workshop Proceedings, Vol-3335, pp. 99-109.
- Date
- 2022-01-01
- Publisher
- CEUR-WS
- Subject
- ANN; Ontology; Semantic Web; Video Classification
- Coverage
- Deepak G., Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India; Sawarn S., School of Computing, DIT University, Dehradun, India; Priyadarshini S., Department of Data Sciences, CHRIST (Deemed to be University), Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 16130073
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Deepak G.; Sawarn S.; Priyadarshini S., “JRHDLSI: An Approach Towards Job Recommendation Hybridizing Deep Learning and Semantic Intelligence,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 27, 2025, https://archives.christuniversity.in/items/show/20149.