Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
A vector space model for automatic indexing
Communications of the ACM
Information Retrieval
Dogear: Social bookmarking in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Web Information Retrieval in Collaborative Tagging Systems
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
An efficient manual image annotation approach based on tagging and browsing
Workshop on multimedia information retrieval on The many faces of multimedia semantics
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
A graph-based clustering scheme for identifying related tags in folksonomies
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
User-related tag expansion for web document clustering
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Improving tag-based recommendation by topic diversification
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Tag-based resource recommendation in social annotation applications
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Resource recommendation in social annotation systems: A linear-weighted hybrid approach
Journal of Computer and System Sciences
Community detection in Social Media
Data Mining and Knowledge Discovery
User-based collaborative filtering on cross domain by tag transfer learning
Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining
An adaptive method for the tag-rating-based recommender system
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Social linkage and ranking model for tags-based resources
International Journal of Metadata, Semantics and Ontologies
Hi-index | 0.00 |
The popularity of collaborative tagging, otherwise known as "folksonomies", emanate from the flexibility they afford users in navigating large information spaces for resources, tags, or other users, unencumbered by a pre-defined navigational or conceptual hierarchy. Despite its advantages, social tagging also increases user overhead in search and navigation: users are free to apply any tag they wish to a resource, often resulting in a large number of tags that are redundant, ambiguous, or idiosyncratic. Data mining techniques such as clustering provide a means to overcome this problem by learning aggregate user models, and thus reducing noise. In this paper we propose a method to personalize search and navigation based on unsupervised hierarchical agglomerative tag clustering. Given a user profile, represented as a vector of tags, the learned tag clusters provide the nexus between the user and those resources that correspond more closely to the user's intent. We validate this assertion through extensive evaluation of the proposed algorithm using data from a real collaborative tagging Web site.