Results 251 to 260 of about 1,392,110 (286)

Techniques for Efficient Query Expansion

2004
Query expansion is a well-known method for improving average effectiveness in information retrieval. However, the most effective query expansion methods rely on costly retrieval and processing of feedback documents. We explore alternative methods for reducing query-evaluation costs, and propose a new method based on keeping a brief summary of each ...
Bodo Billerbeck, Justin Zobel
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Query Expansion Based on Topics

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Query expansion technology and formal concept analysis (FCA) are two effective methods for improving the query precision in the information retrieval field. In this paper, formal concept analysis which aims at modeling concepts is adopted to expand the user query and a new query expansion approach is proposed.
Bing Zhang, Yajun Du, Haiming Li, YuTing Wang   +3 more
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ON TERM SELECTION FOR QUERY EXPANSION

Journal of Documentation, 1990
In the framework of a relevance feedback system, term values or term weights may be used to (a) select new terms for inclusion in a query, and/or (b) weight the terms for retrieval purposes once selected. It has sometimes been assumed that the same weighting formula should be used for both purposes.
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A Framework for Automatic Query Expansion

2010
The objective of this paper is to provide a framework and computational model for automatic query expansion using psuedo relevance feedback. We expect that our model can be helpful in dealing with many important aspects in automatic query expansion in an efficient way. We have performed experiments based on our model using TREC data set.
Hazra Imran, Aditi Sharan
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Selecting expansion terms in automatic query expansion

Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, 2001
In automatic query expansion, where queries are automatically expanded with terms not in the original query but extracted from initially retrieved top-ranked documents, each term in the top-ranked documents is evaluated for its usefulness as an expansion term to be added to the original query.
Hiroko Mano, Yasushi Ogawa
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Exploiting entities for query expansion

ACM SIGIR Forum, 2014
A substantial fraction of web search queries contain references to entities, such as persons, organizations, and locations. This signi cant presence of named entities in queries provides an opportunity for web search engines to improve their understanding of the user's information need. In this thesis, we investigate the entity-oriented query
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Concept based query expansion

Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93, 1993
Query expansion methods have been studied for a long time - with debatable success in many instances. In this paper we present a probabilistic query expansion model based on a similarity thesaurus which was constructed automatically. A similarity thesaurus reflects domain knowledge about the particular collection from which it is constructed.
Yonggang Qiu, Hans-Peter Frei
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GIR with Geographic Query Expansion

2007
For our participation in the second edition of GeoCLEF, we have researched the incorporation of geographic knowledge into Geographic Information Retrieval (GIR). Our system is made up of an IR module (IR-n) and a Geographic Knowledge module (Geonames).
Antonio Toral, Óscar Ferrández, Elisa Noguera, Zornitsa Kozareva, Andrés Montoyo, Rafael Muñoz 0001   +5 more
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Optimizing a Query by Transformation and Expansion

2017
In the biomedical sector not only the amount of information produced and uploaded into the web is enormous, but also the number of sources where these data can be found. Clinicians and researchers spend huge amounts of time on trying to access this information and to filter the most important answers to a given question.
Katrin Glocker, Alexander Knurr, Julia Dieter, Friederike Dominick, Melanie Forche, Christian Koch, Analie Pascoe Pérez, Benjamin Roth 0003, Frank Ückert   +8 more
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External Query Expansion in the Blogosphere.

2009
We describe the participation of the University of Amsterdam’s ILPS group in the blog track at TREC 2008. We mainly explored different ways of using external corpora to expand the original query. In the blog post retrieval task we did not succeed in improving over a simple baseline (equal weights for both the expanded and original query).
Weerkamp, W., de Rijke, M.
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