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 Book Chapter 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/. Title A name given to the resource Recommendation of diet using hybrid collaborative filtering learning methods Subject The topic of the resource Collaborative filtering; K-nearest neighbor; Matrix factorization; Recommender system; Thyroid disorder Description An account of the resource These days, various recommender systems exist for online advertisement services which recommend the products considering users interests. Similarly, health recommendation systems are becoming most important component in individuals life. Due to the modernization and busy schedule, people give less concern to their eating patterns. This leads to various health issues like obesity, thyroid disorder, diabetes and others. Every individual has different health issues and food habits. Therefore, diet recommendations should be suggested by considering their personal health profile and food preferences. So, it becomes essential to analyze individuals health concerns before recommending the diet with required nutrient values. Thus, it helps people to minimize the further risks associated with the current health conditions. The proposed diet and exercise recommender framework suggests a balanced diet for thyroid patients. It takes care of the food intake with necessary nutrients requirement based on thyroid disorders. This paper applies K-nearest neighbor collaborative filtering models using various similarity measures. The paper assessed two-hybrid learning methods, KNN with alternating least squares: KNN-ALS and KNN with stochastic gradient decent: KNN-SGD. The experimental setup analyzed and evaluated the performances of all algorithms using mean absolute error (MAE) and root mean squared error (RMSE) values. Springer Nature Singapore Pte Ltd 2020. 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 Lecture Notes in Networks and Systems, Vol-119, pp. 309-318. Publisher An entity responsible for making the resource available Springer 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/10.1007/978-981-15-3338-9_36" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-3338-9_36</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085210635&amp;doi=10.1007%2F978-981-15-3338-9_36&amp;partnerID=40&amp;md5=78c35f84722709118032330a36cd9b74" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085210635&amp;doi=10.1007%2f978-981-15-3338-9_36&amp;partnerID=40&amp;md5=78c35f84722709118032330a36cd9b74</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370 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 Book chapter 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), Kengeri Campus, Bangalore, Karnataka, India; Shukla S., CHRIST (Deemed to be University), Lavasa, Pune, India