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The comparison has been done on the benchmark recommender system datasets namely MovieLens, Amazon datasets against the existing approaches such as collaborative filtering based on tagging using E-FCM, and E-GK clustering algorithms, hybrid recommender systems based on tagging using GA and collaborative tagging using incremental clustering with trust. The experimental results ensure that the proposed approach achieves maximum prediction accuracy ratio of 9.25% for average of various splits data of 100 users, which is higher than the existing approaches obtained only prediction accuracy of 5.76%.<\/jats:p>","DOI":"10.4018\/ijdwm.2020070110","type":"journal-article","created":{"date-parts":[[2020,5,28]],"date-time":"2020-05-28T14:30:35Z","timestamp":1590676235000},"page":"183-200","source":"Crossref","is-referenced-by-count":5,"title":["Recommender Systems Using Collaborative Tagging"],"prefix":"10.4018","volume":"16","author":[{"given":"Latha","family":"Banda","sequence":"first","affiliation":[{"name":"School of Computer and System Science, Sharda University, India"}]},{"given":"Karan","family":"Singh","sequence":"additional","affiliation":[{"name":"School of Computer and System Science, Jawaharlal Nehru University, India"}]},{"given":"Le Hoang","family":"Son","sequence":"additional","affiliation":[{"name":"Institute of Research and Development, Duy Tan University, Da Nang, Vietnam & VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam"}]},{"given":"Mohamed","family":"Abdel-Basset","sequence":"additional","affiliation":[{"name":"Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Egypt"}]},{"given":"Pham Huy","family":"Thong","sequence":"additional","affiliation":[{"name":"Ton Duc Thang University, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9213-131X","authenticated-orcid":true,"given":"Hiep Xuan","family":"Huynh","sequence":"additional","affiliation":[{"name":"College of Information and Communication Technology, Can Tho University, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8862-3960","authenticated-orcid":true,"given":"David","family":"Taniar","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Monash University, Australia"}]}],"member":"2432","reference":[{"key":"IJDWM.2020070110-0","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"IJDWM.2020070110-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.08.016"},{"key":"IJDWM.2020070110-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.10.012"},{"key":"IJDWM.2020070110-3","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2012.2537"},{"key":"IJDWM.2020070110-4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07353-8_49"},{"key":"IJDWM.2020070110-5","doi-asserted-by":"publisher","DOI":"10.1080\/18756891.2014.960225"},{"key":"IJDWM.2020070110-6","first-page":"89","article-title":"E-FCM Algorithms for Collaborative Tagging System.","author":"L.Banda","year":"2015","journal-title":"Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014"},{"key":"IJDWM.2020070110-7","unstructured":"Bartz, K., Murthi, V., & Sebastian, S. 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