GlOSS: text-source discovery over the Internet
ACM Transactions on Database Systems (TODS)
Effective ranked conceptual retrieval
Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience
Foundations and Trends in Information Retrieval
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The relevance feedback process uses information derived from an initially retrieved set of documents to improve subsequent search formulations and retrieval output. In a Boolean query environment this implies that new query terms must be identified and Boolean operators must be chosen automatically to connect the various query terms. In this study, two recently proposed automatic methods for relevance feedback of Boolean queries are evaluated and conclusions are drawn concerning the use of effective feedback methods in a Boolean query environment.