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 Articles Article Faculty Publications -Articles 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 A Cognitive Similarity-Based Measure to Enhance the Performance of Collaborative Filtering-Based Recommendation System Subject The topic of the resource Cognitive similarity (CgS); collaborative filtering (CF); cosine measure; Goweras coefficient; Jaccard coefficient; recommendation system (RS); sigmoid function; similarity measure Description An account of the resource Advances in technology and high Internet penetration are leading to a large number of businesses going online. As a result, there is a substantial increase in the number of customers making online purchases and the number of items available online. However, with so many options available to choose from, users have to face the information overload problem. Several techniques have been developed to handle this, but the performance of the recommendation system (RS) has been recorded unprecedentedly. The collaborative filtering (CF) of RS is the most prevalent technique, which suggests personalized items to users based on their past preferences. The efficacy of this technique mainly depends on the similarity calculation, which the traditional or cognitive approach can ascertain. In the traditional approach, a similarity measure utilizes the user's ratings on an item to compute the similarity. Most similarity measures in this approach suffer from either data sparsity and/or cold-start problems. To address both of them, a new similarity measure based on the Jaccard and Gower coefficients, the efficient Gowers-Jaccard-Sigmoid Measure (EGJSM), is proposed in this article. It also includes a nonlinear sigmoid function to penalize the bad ratings. The performance of EGJSM is evaluated by conducting experiments on benchmark datasets, and the results depict that the proposed technique outperforms several existing methods. Along with this, a cognitive similarity (CgS) measure has been proposed, which considers cognitive features such as genre and year of release along with rating information, to calculate similarity. The CgS method also outperforms the proposed EGJSM method and produces almost 4% and 1% lower mean absolute error (MAE) and root-mean-squared error (RMSE) values than that. 2014 IEEE. Creator An entity primarily responsible for making the resource Jain G.; Mahara T.; Sharma S.C.; Sangaiah A.K. Source A related resource from which the described resource is derived IEEE Transactions on Computational Social Systems, Vol-9, No. 6, pp. 1785-1793. 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/TCSS.2022.3187430" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TCSS.2022.3187430</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134217229&amp;doi=10.1109%2FTCSS.2022.3187430&amp;partnerID=40&amp;md5=5f34db2778fa985e5d20a8285a9b1576" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134217229&amp;doi=10.1109%2fTCSS.2022.3187430&amp;partnerID=40&amp;md5=5f34db2778fa985e5d20a8285a9b1576</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2329924X 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 Article 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., IIT Roorkee, Electronic and Computer Discipline, Department of Polymer and Process Engineering, Roorkee, 247667, India; Mahara T., IIT Roorkee, Department of Polymer and Process Engineering, Roorkee, 247667, India, Christ University, School of Business and Management, Bengaluru, 560029, India; Sharma S.C., IIT Roorkee, Electronic and Computer Discipline, Department of Paper Technology, Roorkee, 247667, India; Sangaiah A.K., National Yunlin University of Science and Technology, Department of Industrial Engineering and Management, Douliu, 64002, Taiwan