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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Poly, Anisha; Nizar Banu, P.K. Title A name given to the resource E-Learning Recommender System for Deaf and Hard of Hearing Learners Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Cloud Computing for Smart Education and Collaborative Learning;pp.247-261 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003472537-22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003472537-22</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001459797?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001459797?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poly A., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bengaluru, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bengaluru, India Description An account of the resource People with disabilities, including deaf and hard of hearing (DHH), face numerous resources online and need support to choose the right learning materials according to their preferences in communication and learning style. Content recommendation engines may help the DHH learners by suggesting the best possible matching resources to find out the suitable learning materials according to the preferences of learners. Content recommenders that use tag-based clustering techniques reduce the search space by filtering learning objects that match users search keywords at the first level and then present the learning objects with the specified accessibility preferences in terms of communication and learning style in the next level. This chapter presents a detailed study focusing on the tag-based content recommender systems in the e-Learning domain that support learners with sensory impairment, especially DHH learners. 2025 selection and editorial matter, Urmila Shrawankar and Prerna Mishra; individual chapters, the contributors. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104031812-6; 978-103274115-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online