Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
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
Searching for content-based addresses on the World-Wide Web
Proceedings of the third ACM conference on Digital libraries
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of a very large web search engine query log
ACM SIGIR Forum
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
How are we searching the world wide web?: a comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Automatically labeling hierarchical clusters
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Comparing query logs and pseudo-relevance feedbackfor web-search query refinement
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Mining term association patterns from search logs for effective query reformulation
Proceedings of the 17th ACM conference on Information and knowledge management
An Unsupervised Approach to Cluster Web Search Results Based on Word Sense Communities
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Empirical Analysis of the Rank Distribution of Relevant Documents in Web Search
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Query Suggestion by Query Search: A New Approach to User Support in Web Search
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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At the Web Intelligence conference in 2009, Jiang, Zilles, and Holte introduced a novel approach to query suggestion based on query search (QSQS), as well as a system-centered evaluation method. For each potentially relevant document, QSQS creates a complex query--called a lexical alias for the document--that ranks the document in its top 20. A technique called Query Search then builds query suggestions by simplifying the lexical alias. The present paper improves the state of the art by proposing two new query suggestion systems, IQSQS and GQSQS. Both replace the generation of lexical aliases by a simpler and more effective term selection process. They differ in their control structure: IQSQS builds query suggestions separately for each potentially relevant document, GQSQS builds them for a set of documents at once. Both our new systems substantially outperform QSQS in the measures introduced by Jiang et al. to evaluate QSQS; we achieve improvements of up to 30 percent in these measures for short user queries and up to 100 percent for long user queries. We show empirically that query expansion, which forces the user's query to be included in each suggested query, is significantly superior to allowing the system the freedom to include or exclude terms from the user's query at its discretion.