Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Social ranking: uncovering relevant content using tag-based recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Semantic Grounding of Tag Relatedness in Social Bookmarking Systems
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Effects of Social Approval Votes on Search Performance
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
A social model for literature access: towards a weighted social network of authors
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Tags weighting based on user profile
AMT'11 Proceedings of the 7th international conference on Active media technology
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With the proliferation of social media, it is becoming important to support a significant amount of user tags in selecting the most appropriate resource description during the search process. In this paper, we propose to identify and structure the links between resources by taking into account a resource social dimension. Each resource is assigned to a cluster of tags hierarchy. The clusters of tags are formed by a classification method while the hierarchical classification of tags within clusters is defined using a hierarchy classification algorithm. User's query is expanded by a social dimension and the clusters of tags are used to facilitate the search and ranking process. The results of our experiment, crawled from Delicious Folksonomy, demonstrate significant improvement over traditional retrieval approaches.