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 An Intelligent Recommendation System Using Market Segmentation Subject The topic of the resource Association rule mining; Content-based recommender system; E-Commerce; Hybrid recommender system; Market basket analysis; Market segmentation Description An account of the resource Electronic commerce, sometimes known as E-Commerce, is exchanging services and goods over the internet. These E-Commerce systems generate a lot of information. To solve these Data Overload issues, Recommender Systems are deployed. Because of the change to online buying, companies must now accommodate customers needs while also providing more options. The strategies and compromises of common recommender systems will be discussed to assist clients in these situations. Recommendation algorithms generate lists of things that the user have been previously using (content filtering) or develop recommendations and analyzing what items users purchase and identify similar target users (collaborative filtering). To assist clients in these situations, The Apriori algorithm, standard and custom metrics, association rules, aggregation, and pruning are used to improve results after a review of popular recommender system strategies that have been used. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Mechery S.; Preethi N. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-303 SIST, pp. 468-476. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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="https://doi.org/10.1007/978-981-19-2719-5_44" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2719-5_44</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130958120&amp;doi=10.1007%2F978-981-19-2719-5_44&amp;partnerID=40&amp;md5=5bd16ae584af42e062697d6f7a2947ab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130958120&amp;doi=10.1007%2f978-981-19-2719-5_44&amp;partnerID=40&amp;md5=5bd16ae584af42e062697d6f7a2947ab</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981192718-8 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 Mechery S., Department of Data Science, Christ University, Lavasa, Pune, India; Preethi N., Department of Data Science, Christ University, Lavasa, Pune, India