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2015
La diversification des résultats de recherche (DRR) vise à sélectionner divers documents à partir des résultats de recherche afin de couvrir autant d’intentions que possible. Dans les approches existantes, on suppose que les résultats initiaux sont suffisamment diversifiés et couvrent bien les aspects de la requête.
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La diversification des résultats de recherche (DRR) vise à sélectionner divers documents à partir des résultats de recherche afin de couvrir autant d’intentions que possible. Dans les approches existantes, on suppose que les résultats initiaux sont suffisamment diversifiés et couvrent bien les aspects de la requête.
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Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03, 2003
The effectiveness of queries in information retrieval can be improved through query expansion. This technique automatically introduces additional query terms that are statistically likely to match documents on the intended topic. However, query expansion techniques rely on fixed parameters.
Bodo Billerbeck, Justin Zobel
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The effectiveness of queries in information retrieval can be improved through query expansion. This technique automatically introduces additional query terms that are statistically likely to match documents on the intended topic. However, query expansion techniques rely on fixed parameters.
Bodo Billerbeck, Justin Zobel
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Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015
Large knowledge bases are being developed to describe entities, their attributes, and their relationships to other entities. Prior research mostly focuses on the construction of knowledge bases, while how to use them in information retrieval is still an open problem.
Chenyan Xiong, Jamie Callan
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Large knowledge bases are being developed to describe entities, their attributes, and their relationships to other entities. Prior research mostly focuses on the construction of knowledge bases, while how to use them in information retrieval is still an open problem.
Chenyan Xiong, Jamie Callan
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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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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
Li Wei-jiang, Zhao Tie-jun, Zang Wen-mao
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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
Li Wei-jiang, Zhao Tie-jun, Zang Wen-mao
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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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ExpansionTool: Concept-Based Query Expansion and Construction
Information Retrieval, 2001Summary: We develop a deductive data model for concept-based query expansion. It is based on three abstraction levels: the conceptual, linguistic and string levels. Concepts and relationships among them are represented at the conceptual level. The linguistic level gives natural language expressions for concepts. Each expression has one or more matching
Järvelin, Kalervo +2 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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Studying Query Expansion Effectiveness
2009Query expansion is an effective technique in improving the retrieval performance for ad-hoc retrieval. However, query expansion can also fail, leading to a degradation of the retrieval performance. In this paper, we aim to provide a better understanding of query expansion by an empirical study on what factors can affect query expansion, and how these ...
Ben He, Iadh Ounis
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On relevance, time and query expansion
Proceedings of the 20th ACM international conference on Information and knowledge management, 2011We present the results of our exploratory analysis on the relationship that exists between relevance and time. We observe how the amount of documents published in a given interval of time is related to the probability of relevance, and, using the time series analysis, we show the existence of a correlation between time and relevance.
Amati, G, Amodeo, G, GAMBOSI, GIORGIO
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