SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Using Noun Phrase Heads to Extract Document Keyphrases
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Constructing Web search queries from the user's information need expressed in a natural language
Proceedings of the 2003 ACM symposium on Applied computing
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Effective and efficient user interaction for long queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Random sampling from a search engine's index
Journal of the ACM (JACM)
Adapting information retrieval systems to user queries
Information Processing and Management: an International Journal
MedSearch: a specialized search engine for medical information retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
A survey of pre-retrieval query performance predictors
Proceedings of the 17th ACM conference on Information and knowledge management
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Reducing long queries using query quality predictors
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A term dependency-based approach for query terms ranking
Proceedings of the 18th ACM conference on Information and knowledge management
Evaluating verbose query processing techniques
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Exploring reductions for long web queries
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Search Strategies for Keyword-based Queries
DEXA '10 Proceedings of the 2010 Workshops on Database and Expert Systems Applications
Making the Most of a Web Search Session
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Introducing the user-over-ranking hypothesis
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
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The User-over-Ranking hypothesis states that the best retrieval performance can be achieved with queries returning about as many results as can be considered at user site [21]. We apply this hypothesis to Lee et al.'s problem of automatically formulating a single promising query from a given set of keywords [16]. Lee et al.'s original approach requires unrestricted access to the retrieval system's index and manual parameter tuning for each keyword set. Their approach is not applicable on larger scale, not to mention web search scenarios. By applying the User-over-Ranking hypothesis we overcome this restriction and present a fully automatic user-site heuristic for web query formulation from given keywords. Substantial performance gains of up to 60% runtime improvement over previous approaches for similar problems underpin the value of our approach.