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 Machine Learning Based recommendation system Using User-Item Interaction Subject The topic of the resource Clustering; Collaborative Filtering; Content-based Filtering; Machine Learning; Movie Recommendation; User ratings Description An account of the resource Electronic commerce, or e-commerce, is the activity of trading services and commodities through the internet. Identifying the item that the consumer may buy from the enormous number of possibilities accessible to solve this difficulty is now one of the key difficulties encountered by most E-commerce businesses. Recommender systems have been implemented. Recommender systems (RS) are systems that collect information from users about their preferences and allow them to make decisions from the available options. Today, various recommender systems are growing with the advent of web-based information. As you can see from various articles, such recommender systems are used in a variety of industries, from simple objects to more sophisticated objects.RS has gained popularity in the previous decade, particularly in the realm of E-Commerce and related sectors. This report aims to identify recent developments as well as their potential for improvement. It is intended to elaborate on a number of points. And also work more on user-item based recommendation. These types of user-item based recommendation will be more effective in fashion area. 2022 IEEE. Creator An entity primarily responsible for making the resource Akshay K.; Nair A.M. Source A related resource from which the described resource is derived 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1745-1749. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/ICACITE53722.2022.9823576" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACITE53722.2022.9823576</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135477888&amp;doi=10.1109%2FICACITE53722.2022.9823576&amp;partnerID=40&amp;md5=d1f393443f01abc86211f1c8c79c7ca0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135477888&amp;doi=10.1109%2fICACITE53722.2022.9823576&amp;partnerID=40&amp;md5=d1f393443f01abc86211f1c8c79c7ca0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543789-9 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 Akshay K., Christ (Deemed to Be University), Lavasa Campus, Department of Data Science, Maharashtra, Pune, India; Nair A.M., Christ (Deemed to Be University), Lavasa Campus, Department of Data Science, Maharashtra, Pune, India