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 food items for thyroid patients using content-based knn method Subject The topic of the resource Content-based; Food preference matrix; Inverse document frequency; K-Nearest neighbor; Term frequency Description An account of the resource Food recommendation system has become a recent topic of research due to increase use of web services. A balanced food intake is significant to maintain individuals physical health. Due to unhealthy eating patterns, it results in various diseases like diabetes, thyroid disorder, and even cancer. The choice of food items with proper nutritional values depends on individuals health conditions and food preferences. Therefore, personalized food recommendations are provided based on personal requirements. People can easily access a huge amount of food details from online sources like healthcare forums, dietitian blogs, and social media websites. Personal food preferences, health conditions, and reviews or ratings of food items are required to recommend diet for thyroid patients. We propose a unified food recommendation framework to identify food items by incorporating various content-based features. The framework uses the domain knowledge to build the private model to analyze unique food characteristics. The proposed recommender model generates diet recommendation list for thyroid patients using food items rating patterns and similarity scores. The experimental setup validated the proposed food recommender system with various evaluation criteria, and the proposed framework provides better results than conventional food recommender systems. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. 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-132, pp. 71-77. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5309-7_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5309-7_8</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372332&amp;doi=10.1007%2F978-981-15-5309-7_8&amp;partnerID=40&amp;md5=bb9d2a137e9f4d11277d1ffc3da69a47" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372332&amp;doi=10.1007%2f978-981-15-5309-7_8&amp;partnerID=40&amp;md5=bb9d2a137e9f4d11277d1ffc3da69a47</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), Bengaluru, India; Shukla S., CHRIST (Deemed to be University), Bengaluru, India