The vocabulary problem in human-system communication
Communications of the ACM
Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
On the reuse of past optimal queries
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
A Contextual Term Suggestion Mechanism for Interactive Web Search
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Using Association Rules to Discover Search Engines Related Queries
LA-WEB '03 Proceedings of the First Conference on Latin American Web Congress
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
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Query clustering helps users frame an optimum query to obtain relevant documents. The content-based approach to query clustering has been criticized since queries are usually very short and consist of a wide variety of keywords, making this method ineffective in finding clusters. Clustering based on similar search results URLs has also performed inadequately due to the large number of distinct URLs. Our previous work has demonstrated that a hybrid approach combining the two is effective in generating good clusters. This study aims to extend our work by using lexical knowledge from WordNet to examine the effect on the quality of query clusters. Our results show that surprisingly, the use of lexical knowledge does not produce any significant improvement in quality, thus demonstrating the robustness of the hybrid clustering approach.