Results 21 to 30 of about 1,130,991 (283)
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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Sub-word indexing and blind relevance feedback for English, Bengali, Hindi, and Marathi IR [PDF]
, 2010 The Forum for Information Retrieval Evaluation (FIRE) provides document collections, topics, and relevance assessments for information retrieval (IR) experiments on Indian languages. Several research questions are explored in this paper: 1. how to create
Jones, Gareth J.F., Leveling, Johannes
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An adaptive technique for content-based image retrieval [PDF]
, 2006 We discuss an adaptive approach towards Content-Based Image Retrieval. It is based on the Ostensive Model of developing information needs—a special kind of relevance feedback model that learns from implicit user feedback and adds a temporal notion to ...
AHM Hofstede ter +18 more
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Examining and improving the effectiveness of relevance feedback for retrieval of scanned text documents [PDF]
, 2006 Important legacy paper documents are digitized and collected in online accessible archives. This enables the preservation, sharing, and significantly the searching of these documents.
Jones, Gareth J.F. +1 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 ...
Lalmas, Mounia, Ruthven, Ian
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Neurophysiological evidence for evaluative feedback processing depending on goal relevance
NeuroImage, 2020 Feedback signaling the success or failure of actions is readily exploited to implement goal-directed behavior. Two event-related brain potentials (ERPs) have been identified as reliable markers of evaluative feedback processing: the Feedback-Related ...
Mario Carlo Severo +4 more
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Pupillary Responses to Faces Are Modulated by Familiarity and Rewarding Context
Brain Sciences, 2021 Observing familiar (known, recognisable) and socially relevant (personally important) faces elicits activation in the brain’s reward circuit. Although smiling faces are often used as social rewards in research, it is firstly unclear whether familiarity ...
Magdalena Matyjek +2 more
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Journal of Intelligent Systems, 2018 The trademark registration process, apparent in all organizations nowadays, deals with recognition and retrieval of similar trademark images from trademark databases. Trademark retrieval is an imperative application area of content-based image retrieval.
Pinjarkar Latika +2 more
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An Adaptive Weight Method for Image Retrieval Based Multi-Feature Fusion
Entropy, 2018 With the rapid development of information storage technology and the spread of the Internet, large capacity image databases that contain different contents in the images are generated.
Xiaojun Lu +4 more
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IEEE Access, 2019 In this study, we propose a novel method for generating an image of the target face by using the generative adversarial network (GAN) and relevance feedback.
Caie Xu +4 more
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