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Results 1 - 10
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381
Multimedia search with pseudo-relevance feedback
- In Intl Conf on Image and Video Retrieval
, 2003
"... We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evidence is novel, this paper emphasizes the successful use of negative pseudo-relevance feedback to improve image retrieval ..."
Abstract
-
Cited by 55 (5 self)
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We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evidence is novel, this paper emphasizes the successful use of negative pseudo-relevance feedback to improve image
The effects of pseudo-relevance feedback on MT-based
- CLIR,” RIAO 2000, Content-based Multi-Media Information Access. CSAIS
, 2000
"... In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of pseudo relevance feedback on crosslanguage retrieval performance. Our experiments demonstrate that, by using pseudo relevan ..."
Abstract
-
Cited by 10 (1 self)
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In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of pseudo relevance feedback on crosslanguage retrieval performance. Our experiments demonstrate that, by using pseudo
A Boosting Approach to Improving Pseudo-Relevance Feedback
"... Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback helps many queries, it also often hurts many other queries, limiting its usefulness in real retrieval applications. Thus ..."
Abstract
-
Cited by 4 (0 self)
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Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback helps many queries, it also often hurts many other queries, limiting its usefulness in real retrieval applications. Thus
Query-Biased Pseudo Relevance Feedback
"... Query-biased pseudo relevance feedback creates doc-ument representations for document feedback that aim to be more relevant to the user than using the entire document. Our submitted runs using query-biased feedback degraded performance compared to not using feedback. The cause of this degradation wa ..."
Abstract
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Query-biased pseudo relevance feedback creates doc-ument representations for document feedback that aim to be more relevant to the user than using the entire document. Our submitted runs using query-biased feedback degraded performance compared to not using feedback. The cause of this degradation
Published In Multimedia Search with Pseudo-Relevance Feedback
"... We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evidence is novel, this paper emphasizes the successful use of negative pseudo-relevance feedback to improve image retrieval ..."
Abstract
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We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evidence is novel, this paper emphasizes the successful use of negative pseudo-relevance feedback to improve image
Collaborative annotation for pseudo relevance feedback
- In ESAIR ’08
, 2008
"... Abstract. We present a pseudo relevance feedback technique for infor-mation retrieval, which expands keyword queries with semantic annota-tion found in the freely available Del.icio.us collaborative tagging system. We hypothesise that collaborative tags represent semantic information that may render ..."
Abstract
-
Cited by 1 (0 self)
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Abstract. We present a pseudo relevance feedback technique for infor-mation retrieval, which expands keyword queries with semantic annota-tion found in the freely available Del.icio.us collaborative tagging system. We hypothesise that collaborative tags represent semantic information that may
Positional Relevance Model for Pseudo-Relevance Feedback
, 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 in ..."
Abstract
-
Cited by 38 (1 self)
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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
Flexible Pseudo-Relevance Feedback for NTCIR-2
"... The University of Cambridge/Microsoft/Toshiba team participated in the NTCIR-2 Japanese-English Cross-Language IR task only, using the Okapi Basic Search System at the University of Cambridge. The aim of our participation this year was to improve the reliability of pseudo-relevance feedback (PRF) ra ..."
Abstract
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The University of Cambridge/Microsoft/Toshiba team participated in the NTCIR-2 Japanese-English Cross-Language IR task only, using the Okapi Basic Search System at the University of Cambridge. The aim of our participation this year was to improve the reliability of pseudo-relevance feedback (PRF
Structure Cognizant Pseudo Relevance Feedback
"... We propose a structure cognizant framework for pseudo relevance feedback (PRF). This has an application, for example, in selecting expansion terms for general search from subsets such as Wikipedia, wherein documents typically have a minimally fixed set of fields, viz., Title, Body, Infobox and Categ ..."
Abstract
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We propose a structure cognizant framework for pseudo relevance feedback (PRF). This has an application, for example, in selecting expansion terms for general search from subsets such as Wikipedia, wherein documents typically have a minimally fixed set of fields, viz., Title, Body, Infobox
Results 1 - 10
of
381
