期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2012
卷号：3
期号：5
出版社：Seventh Sense Research Group
摘要：Social tagging is one of the major phenomena transforming the World Wide Web(WWW) from a static platform into an actively shared information space. Social bookmarking tools allow users to save for further use, creating tags for annotating Internet websites, and to share Web pages they found interesting with other people. This project presents a research study on the application of link mining to a social bookmarking Web site called del.icio.us. User feedback is obtained by iteratively providing a set of posted items, and users selecting items based on their own preferences either using this suggestion set or from the set of all possible items. To improve existing social bookmarking systems and to design new ones, researchers and practitioners need to understand how to evaluate tagging behavior.Existing approaches suffers with We investigated the user bookmarking and tagging behaviors and seen several approaches to find surprising patterns in the data.Proposed system uses robust dynamic tagging data with popular tag and naïve algorithms in order to overcome the drawbacks in the existing algorithms. This study mainly focuses on processing popular than others. Finally this system effectively resolved the tags for mutual ties between users.
