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
Foundations of statistical natural language processing
Foundations of statistical natural language processing
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The paraphrase search assistant: terminological feedback for iterative information seeking
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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
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Communications of the ACM
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Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
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ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
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This paper presents a novel term suggestion mechanism for interactive web search. The main distinction of the proposed mechanism is that it exploits the contextual information among the series of query terms submitted by the user in a search process. The main objective is to facilitate identifying the exact information need of the user and therefore to make better term suggestion to the user. This paper also discusses the main issues concerning implementation of the proposed term suggestion mechanism and reports some experimental results regarding its effects.