Novelty and redundancy detection in adaptive filtering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Further Experiments on Collaborative Ranking in Community-Based Web Search
Artificial Intelligence Review
CubeSVD: a novel approach to personalized Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Word sense disambiguation in queries
Proceedings of the 14th ACM international conference on Information and knowledge management
Relevance judgment: What do information users consider beyond topicality?
Journal of the American Society for Information Science and Technology - Research Articles
SenseRelate::TargetWord: a generalized framework for word sense disambiguation
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
A statistical framework for query translation disambiguation
ACM Transactions on Asian Language Information Processing (TALIP)
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Generalizing from relevance feedback using named entity wildcards
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Ambiguous queries: test collections need more sense
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
An analysis of query similarity in collaborative web search
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Information Processing and Management: an International Journal
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In this paper we propose a query disambiguation mechanism for query context focalization in a meta-search environment. Our methods start from a set of documents retrieved executing a query over a search engine and applies clustering in order to generate distinct homogeneous groups. Then, the following step is to compute for each cluster a disambiguated query that highlights its main contents. The disambiguated queries are suggestions for possible new focalized searches. The ranking of the clusters from which the queries are derived is provided based on a balance of the novelty of cluster contents, and their overall similarity with respect to the query.