Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
AutoTag: a collaborative approach to automated tag assignment for weblog posts
Proceedings of the 15th international conference on World Wide Web
Efficient query expansion with auxiliary data structures
Information Systems
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Query suggestion based on user landing pages
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Blogosonomy: Autotagging Any Text Using Bloggers' Knowledge
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Real-time automatic tag recommendation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Cross-tagging for personalized open social networking
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Automatic detection of tags for political blogs
WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
Folksonomy-Based Term Extraction for Word Cloud Generation
ACM Transactions on Intelligent Systems and Technology (TIST)
A discriminative model approach for suggesting tags automatically for stack overflow questions
Proceedings of the 10th Working Conference on Mining Software Repositories
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The query used in a search system is only an approximation to the user's true information need, and as a result, many factors can reduce the quality of search results. One is query ambiguity, causing searchers with different needs to issue the same query. For example, for the query java, some users may want to find java tutorial while others may want to download java software. Other factors include a vocabulary mismatch and a lack of knowledge regarding the contents of the document collection. In any case, many users benefit from assistance in forming a good query. As a result, some commercial services provide query suggestions for many queries. In this paper, we propose a Tag Suggestion System that takes advantage of tags associated with query results to expand a searcher's query. Since not every web page is associated with existing tags, we first build an auto-tagging system which can assign multiple tags to web pages, including news, blogs, etc. The current system contains the most popular 140 tags in del.icio.us, with high precision performance. A small user study is performed to evaluate anecdotally the performance of our Tag Suggestion System, showing better quality than the query suggestion mechanisms provided by Yahoo! and Google. The result pages of expanded queries generated by the Tag Suggestion System are also significantly better than those of the Google original system.