A new method of weighting query terms for ad-hoc retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic query wefinement using lexical affinities with maximal information gain
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Query word deletion prediction
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Ranking robustness: a novel framework to predict query performance
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Examining the content load of part of speech blocks for information retrieval
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Query performance prediction in web search environments
SIGIR '07 Proceedings of the 30th 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
Selecting good expansion terms for pseudo-relevance feedback
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
Adapting information retrieval systems to user queries
Information Processing and Management: an International Journal
Selecting Effective Terms for Query Formulation
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Exploring reductions for long web queries
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Query term ranking based on dependency parsing of verbose queries
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Query term ranking based on search results overlap
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Applying the user-over-ranking hypothesis to query formulation
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Learning regional transliteration variants
Information Processing and Management: an International Journal
A quasi-synchronous dependence model for information retrieval
Proceedings of the 20th ACM international conference on Information and knowledge management
Machine learning for query formulation in question answering
Natural Language Engineering
Generating queries from user-selected text
Proceedings of the 4th Information Interaction in Context Symposium
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Formulating appropriate and effective queries has been regarded as a challenging issue, since a large number of candidate words or phrases could be chosen as query terms to convey users' information needs. In this paper, we propose an approach to rank a set of given query terms according their effectiveness, wherein top ranked terms will be selected as an effective query. Our ranking approach exploits and benefits from the underlying relationship between the query terms, and thereby the effective terms can be properly combined into the query. Two regression models which capture a rich set of linguistic and statistical properties are used in our approach. Experiments on NTCIR-4 ad-hoc retrieval tasks demonstrate that the proposed approach can significantly improve retrieval performance, and can be well applied to other problems such as query expansion and querying by text segments.