Results 11 to 20 of about 2,490,590 (283)
Using relevance feedback in expert search [PDF]
, 2007 In Enterprise settings, expert search is considered an important task. In this search task, the user has a need for expertise - for instance, they require assistance from someone about a topic of interest. An expert search system assists users with their
Macdonald, C. +3 more
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Incorporating user search behaviour into relevance feedback [PDF]
, 2003 In this paper we present five user experiments on incorporating behavioural information into the relevance feedback process. In particular we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query.
van Rijsbergen, C.J. +6 more
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A survey on the use of relevance feedback for information access systems [PDF]
, 2003 Users of online search engines often find it difficult to express their need for information in the form of a query. However, if the user can identify examples of the kind of documents they require then they can employ a technique known as relevance ...
Ruthven, Ian, Lalmas, Mounia
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Conceptual relevance feedback [PDF]
IEEE International Conference on Systems, Man and Cybernetics, 2005 Contains fulltext : 176141.pdf (Author’s version preprint ) (Open Access)
Grootjen, F.A., Weide, T.P. van der
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The use of implicit evidence for relevance feedback in web retrieval [PDF]
, 2002 In this paper we report on the application of two contrasting types of relevance feedback for web retrieval. We compare two systems; one using explicit relevance feedback (where searchers explicitly have to mark documents relevant) and one using implicit
Ruthven, Ian +2 more
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Retrieval through explanation : an abductive inference approach to relevance feedback [PDF]
, 1999 Relevance feedback techniques are designed to automatically improve a system's representation of a query by using documents the user has marked as relevant.
van Rijsbergen, C.J. +2 more
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Relevance Feedback in CBIR [PDF]
, 2002 A new focus in content-based image retrieval (CBIR) research is applying relevance feedback originally developed for text document retrieval, to improve the retrieval performance. This effort tries to bridge the gap between low-level image features and high-level semantic contents of images as this gap is the bottleneck of CBIR.
HongJiang Zhang, Zhong Su
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Positional relevance model for pseudo-relevance feedback [PDF]
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 2010 Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for query expansion, which is not optimal as a document may cover several different topics and thus contain much irrelevant information.
Yuanhua Lv, ChengXiang Zhai
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Implicit Adaptation Is Modulated by the Relevance of Feedback [PDF]
Journal of Cognitive Neuroscience, 2022 Abstract Given that informative and relevant feedback in the real world is often intertwined with distracting and irrelevant feedback, we asked how the relevancy of visual feedback impacts implicit sensorimotor adaptation. To tackle this question, we presented multiple cursors as visual feedback in a center-out reaching task and ...
Darius E. Parvin +5 more
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Selective relevance feedback using term characteristics [PDF]
, 1999 This paper presents a new relevance feedback technique; selectively combining evidence based on the usage of terms within documents. By considering how terms are used within documents, we can better describe the features that might make a document ...
Ruthven, Ian, Lalmas, Mounia
core +4 more sources