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
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
A language for manipulating clustered web documents results
Proceedings of the 17th ACM conference on Information and knowledge management
SenseRelate targetword: a generalized framework for word sense disambiguation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
An analysis of query similarity in collaborative web search
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
A new measure for query disambiguation using term co-occurrences
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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In this paper we propose a query disambiguation mechanism focalizing the query context by applying clustering to the results of a Web-search. The clusters are ranked to reflect a balance of their contents’ novelty and overall similarity with respect to the original query, and, from each of them, a disambiguated query is generated so as to potentially retrieve new documents focalized on the cluster contents.