Results 221 to 230 of about 39,138 (264)
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Query expansion and query translation as logical inference
Journal of the American Society for Information Science and Technology, 2003AbstractA number of studies have examined the problems of query expansion in monolingual Information Retrieval (IR), and query translation for crosslanguage IR. However, no link has been made between them. This article first shows that query translation is a special case of query expansion. There is also another set of studies on inferential IR. Again,
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Query Expansion for Email Search
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017This work studies the effectiveness of query expansion for email search. Three state-of-the-art expansion methods are examined: 1) a global translation-based expansion model; 2) a personalized-based word embedding model; 3) the classical pseudo-relevance-feedback model.
Saar Kuzi +3 more
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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, 2001In 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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Personalized query expansion for the web
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007The inherent ambiguity of short keyword queries demands for enhanced methods for Web retrieval. In this paper we propose to improve such Web queries by expanding them with terms collected from each user's Personal Information Repository, thus implicitly personalizing the search output.
Paul-Alexandru Chirita +2 more
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Query Expansion in Folksonomies
2011People share resources in folksonomies and add tags to these resources. There are often only a few tags associated with each resource, which makes the data available in folksonomies extremely sparse. Spareness in folksonomies makes searching resources difficult.
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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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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
2007For 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 +5 more
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2009 Eighth IEEE/ACIS International Conference on Computer and Information Science, 2009
The problem of word mismatch is fundamental to informationretrieval. The primary goal of this paper is effectively solve theabove-mentioned problem by presenting a novel approach to queryexpansion to LSA and factor analysis, that has a solid statisticalfoundation, called PLSA, since it is based on the likelihoodprinciple and defines a proper generative
Weijiang Li, Tiejun Zhao, Wenmao Zang
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The problem of word mismatch is fundamental to informationretrieval. The primary goal of this paper is effectively solve theabove-mentioned problem by presenting a novel approach to queryexpansion to LSA and factor analysis, that has a solid statisticalfoundation, called PLSA, since it is based on the likelihoodprinciple and defines a proper generative
Weijiang Li, Tiejun Zhao, Wenmao Zang
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2013 Ninth International Conference on Semantics, Knowledge and Grids, 2013
Concept based search is a method that enhances information retrieval systems using semantic relationships. The recall in concept based search is relatively low. That low recall comes from the fact that it is not easy to represent a concept completely. Query expansion intends to fill a gap because concept representation is always partial.
Abdoulahi Boubacar, Zhendong Niu
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Concept based search is a method that enhances information retrieval systems using semantic relationships. The recall in concept based search is relatively low. That low recall comes from the fact that it is not easy to represent a concept completely. Query expansion intends to fill a gap because concept representation is always partial.
Abdoulahi Boubacar, Zhendong Niu
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Web Query Expansion by WordNet
2005In this paper, we address a novel method of Web query expansion by using WordNet and TSN. WordNet is an online lexical dictionary which describes word relationships in three dimensions of Hypernym, Hyponym and Synonym. And their impacts to expansions are different. We provide quantitative descriptions of the query expansion impact along each dimension.
Zhiguo Gong, Chan Wa Cheang, Leong Hou U
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