Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource JRHDLSI: An Approach Towards Job Recommendation Hybridizing Deep Learning and Semantic Intelligence Subject The topic of the resource ANN; Ontology; Semantic Web; Video Classification Description An account of the resource 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) Creator An entity primarily responsible for making the resource Deepak G.; Sawarn S.; Priyadarshini S. Source A related resource from which the described resource is derived CEUR Workshop Proceedings, Vol-3335, pp. 99-109. Publisher An entity responsible for making the resource available CEUR-WS Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147672393&amp;partnerID=40&amp;md5=55e3336191ec2ff8b24d9ff5053a2b73" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147672393&amp;partnerID=40&amp;md5=55e3336191ec2ff8b24d9ff5053a2b73</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 16130073 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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