Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Phrasier: a system for interactive document retrieval using keyphrases
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
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MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Using Relevance Feedback in Content-Based Image Metasearch
IEEE Internet Computing
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The purpose of this paper is to deal with the query expansion problem of Web multimedia search. It will present an effective query expansion mechanism that expands users' queries by mining the associations among query terms in query session logs. Such a log-based mechanism has been proven effective to perform query expansion for short queries and increase the recall rate in Web multimedia search.