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 Articles Article Faculty Publications -Articles 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 Physical fitness recommender framework for thyroid patients using restricted boltzmann machines Subject The topic of the resource Collaborative filtering techniques; Content based methods; Exercise plans; Fitness recommender system; Probabilistic matrix factorization; Restricted boltzmann machines; Thyroid disorder Description An account of the resource These days, people can easily acquire the information from online sources. Individuals are generally using recommendation services before buying products considering the availability of online. Recommendation systems propose the relevant services or products to users. But sometimes people face issues while retrieving health related information from the recommender systems. A focus on keeping people healthy is one way to address the serious societal concern of healthcare domain. A health-based physical recommender system suggests workout plans for users using their activity level and health condition. A personalized approach is the most effective solution for the fitnessbased recommender framework based on user's desired characteristics. This article presents a personalized fitness recommender system for thyroid patients. The proposed fitness recommender model integrates the user's data like personal and health profile, preferences, calorie intake, and activity level. The proposed hybrid model is built using Restricted Boltzmann Machines (RBM) integrating content based and matrix factorization techniques. The results of experiments prove that the proposed hybrid model outperforms than content based, pure RBM and matrix factorization recommendation techniques. The current proposal achieves the personalization approach by incorporating user's thyroid health condition and exercise preferences in recommendation process. The recommended result of hybrid RBM method is revised based on user's new preferences. 2020, Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Vairale V.S.; Shukla S. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-13, No. 5, pp. 247-256. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/ijies2020.1031.22" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/ijies2020.1031.22</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090383342&amp;doi=10.22266%2Fijies2020.1031.22&amp;partnerID=40&amp;md5=da5a1062307ec4f3312ade713ac4a63e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090383342&amp;doi=10.22266%2fijies2020.1031.22&amp;partnerID=40&amp;md5=da5a1062307ec4f3312ade713ac4a63e</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vairale V.S., CHRIST (Deemed to be University), India; Shukla S., CHRIST (Deemed to be University), India