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» Relevance Feedback in XML Retrieval
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CIKM
2010
Springer
13 years 7 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
WWW
2005
ACM
14 years 9 months ago
Comparing relevance feedback algorithms for web search
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayli...
ECIR
2008
Springer
13 years 10 months ago
Enhancing Relevance Models with Adaptive Passage Retrieval
Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while im...
Xiaoyan Li, Zhigang Zhu
CVPR
2003
IEEE
14 years 10 months ago
Nearest Neighbor Search for Relevance Feedback
We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback...
Jelena Tesic, B. S. Manjunath
LWA
2008
13 years 10 months ago
On the Topical Structure of the Relevance Feedback Set
We investigate the topical structure of the set of documents used to expand a query in pseudorelevance feedback (PRF). We propose a coherence score to measure the relative topical...
Jiyin He, Martha Larson, Maarten de Rijke