ScentTrails: Integrating browsing and searching on the Web
ACM Transactions on Computer-Human Interaction (TOCHI)
Web-page classification through summarization
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Reinforcing Web-object Categorization Through Interrelationships
Data Mining and Knowledge Discovery
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Towards effective browsing of large scale social annotations
Proceedings of the 16th international conference on World Wide Web
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Automatic tag recommendation algorithms for social recommender systems
ACM Transactions on the Web (TWEB)
Highly efficient algorithms for structural clustering of large websites
Proceedings of the 20th international conference on World wide web
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Browse with either web directories or social bookmarks is an important complementation to search by keywords in web information retrieval. To improve users' browse experiences and facilitate the web directory construction, in this paper, we propose a novel browse system called Social Web Directory (SWD for short) by integrating web directories and social bookmarks. In SWD, (1) web pages are automatically categorized to a hierarchical structure to be retrieved efficiently, and (2) the popular web pages, hottest tags, and expert users in each category are ranked to help users find information more conveniently. Extensive experimental results demonstrate the effectiveness of our SWD system.