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A new approach to query expansion
2005 International Conference on Machine Learning and Cybernetics, 2005Searching online text collections can be both rewarding and frustrating. On the same time valuable information can be found, typically many irrelevant documents are also retrieved and many relevant ones are missed. Word mismatches between the user's query and document contents are a main cause of retrieval failures.
Jian-Fu Li, Shu-Hong Tian, Mao-Zu Guo
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Towards Interactive Query Expansion
ACM SIGIR Forum, 1988In an era of online retrieval, it is appropriate to offer guidance to users wishing to improve their initial queries. One form of such guidance could be short lists of suggested terms gathered from feedback, nearest neighbors, and term variants of original query terms.
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Query Expansion Using DBpedia and WordNet
Annual International Conference on Arab Women in Computing, 2019This paper presents a semantic approach based on DBpedia and WordNet to extract the candidate terms for query expansion. We divided DBpedia features into: general features and specific features that are available depending on the domain of the resource ...
Sarah Dahir, Hamid Khalifi, A. E. Qadi
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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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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.
Claudiu S. Firan +2 more
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An automatic query expansion based on hybrid CMO-COOT algorithm for optimized information retrieval
Journal of Supercomputing, 2022A. Alqahtani +3 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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Query Expansion Associated with Clustering
Applied Mechanics and Materials, 2013The aim of the system is to achieve query expansion. The method works combining clustering of hierarchical methods. Through the information proffered by a background document, doc_ID, concerning the initial query, a cluster containing doc_ID can be produced by hierarchical clustering.
Jie Yin, Wei Ran Xu
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Pseudo-relevance feedback based query expansion using boosting algorithm
Artificial Intelligence Review, 2021Imran Rasheed, H. Banka, H. Khan
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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
Zang Wen-mao, Li Wei-jiang, Zhao Tiejun
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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
Zang Wen-mao, Li Wei-jiang, Zhao Tiejun
openaire +2 more sources