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Published in:
2015 | OriginalPaper | Chapter
E-FCM Algorithms for Collaborative Tagging System
Authors : Latha Banda, K. K. Bharadwaj
Published in: Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014
Publisher: Springer International Publishing
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Collaborative Tagging is the process of managing, classifying and describing tags where in user can easily describe or get an information about an item. As growth of information in social networking websites there is a possibility of increase of tags and it is very difficult to predict or recommend items to the user. In this paper we address the problem of sensitivity in the distribution of the tag data in clusters and optimization can be achieved by merging similar clusters in E-FCM and E-GK algorithm for collaborative Tagging Systems. Our experiments on each movie data set shows E-FCM and E-GK with sensitivity gives more accurate results as compared to baseline clustering approaches in collaborative tagging systems.