Results 241 to 250 of about 1,392,110 (286)

Query-drift prevention for robust query expansion

Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008
Pseudo-feedback-based automatic query expansion yields effective retrieval performance on average, but results in performance inferior to that of using the original query for many information needs. We address an important cause of this robustness issue, namely, the query drift problem, by fusing the results retrieved in response to the original query ...
Liron Zighelnic, Oren Kurland
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Probabilistic query expansion using query logs

Proceedings of the eleventh international conference on World Wide Web - WWW '02, 2002
Query expansion has long been suggested as an effective way to resolve the short query and word mismatching problems. A number of query expansion methods have been proposed in traditional information retrieval. However, these previous methods do not take into account the specific characteristics of web searching; in particular, of the availability of ...
Hang Cui 0002, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma   +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, 2007
The 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, Claudiu S. Firan, Wolfgang Nejdl   +2 more
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Towards Interactive Query Expansion

ACM SIGIR Forum, 1988
In 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 for Email Search

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
This 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, David Carmel, Alex Libov, Ariel Raviv   +3 more
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Query Expansion in Folksonomies

2011
People 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 and query translation as logical inference

Journal of the American Society for Information Science and Technology, 2003
AbstractA 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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Concept Based Query Expansion

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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Web Query Expansion by WordNet

2005
In 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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When query expansion fails

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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