Academic
Publications
Mining and Representing User Interests: The Case of Tagging Practices

Mining and Representing User Interests: The Case of Tagging Practices,10.1109/TSMCA.2011.2132709,IEEE Transactions on Systems, Man, and Cybernetics,Ha

Mining and Representing User Interests: The Case of Tagging Practices  
BibTex | RIS | RefWorks Download
Social tagging in online communities has become an important method for reflecting classified thoughts of individual users. A number of social Web sites provide tagging functionalities and also offer folksonomies within or across the sites. However, it is practically not easy to find users' interests based on such folk- sonomies. In this paper, we provide a novel approach for clustering user-centric interests by analyzing tagging practices of individual users. To do this, we collect Really Simple Syndication data from blogosphere, find conceptual clusters using formal concept analy- sis, and then evaluate the significance of these clusters. The results of the empirical evaluation show that we can effectively recom- mend different collections of tags to an individual or a set of users. Index Terms—Concept analysis, Semantic Web, social tagging, tag ontology.
Journal: IEEE Transactions on Systems, Man, and Cybernetics - TSMC , vol. 41, no. 4, pp. 683-692, 2011
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.