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 Performance Evaluation of Time-based Recommendation System in Collaborative Filtering Technique Subject The topic of the resource Collaborative Filtering; Cosine Correlation Coefficient; Gower's Coefficient; Recommendation System; Similarity Measure; Time decay function Description An account of the resource The Collaborative Filtering (CF) technique is the most common neighbourhood-based recommendation strategy, that provides personalized recommendation to a user for the items using a similarity measure. Hence, the selection of the appropriate similarity measure becomes crucial in the CF based recommendation system. The traditional similarity measures merely focus only on the historical ratings provided by the users to compute the similarity, completely ignoring the fact that preferences change over a period of time. Considering this, the paper aims to develop an effective Recommendation System that uses temporal information to capture the changes in the preferences over a period of time. For this, the existing exponential and power time decay functions are integrated with Cosine, Pearson Correlation, and Gower's similarity measures to compute similarity. The similarity is computed at the similarity computation and prediction levels of recommendation processes. Experimental findings in terms of MAE and RMSE on the MovieLens-100k demonstrate that performance of Gower's coefficient is better when applied with the exponential function at the similarity computation level of the recommendation process. 2022 Elsevier B.V.. All rights reserved. Creator An entity primarily responsible for making the resource Jain G.; Mahara T.; Sharma S.C. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-218, pp. 1834-1844. Publisher An entity responsible for making the resource available Elsevier B.V. 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/10.1016/j.procs.2023.01.161" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2023.01.161</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156146357&amp;doi=10.1016%2Fj.procs.2023.01.161&amp;partnerID=40&amp;md5=dc3ca7394acef5132172db93668fc1af" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156146357&amp;doi=10.1016%2fj.procs.2023.01.161&amp;partnerID=40&amp;md5=dc3ca7394acef5132172db93668fc1af</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18770509 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 Jain G., Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Mahara T., Christ University, Bengaluru, India; Sharma S.C., Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India