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» Relevance Feedback in XML Retrieval
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SIGIR
2010
ACM
13 years 11 months ago
Positional relevance model for pseudo-relevance feedback
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 ...
Yuanhua Lv, ChengXiang Zhai
SIGIR
2006
ACM
14 years 1 months ago
Improving the estimation of relevance models using large external corpora
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Fernando Diaz, Donald Metzler
ECIR
2010
Springer
13 years 8 months ago
On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents
Abstract. Pseudo-Relevance Feedback (PRF) assumes that the topranking n documents of the initial retrieval are relevant and extracts expansion terms from them. In this work, we int...
Karthik Raman, Raghavendra Udupa, Pushpak Bhattach...
ICIP
2009
IEEE
14 years 8 months ago
Mean Shift Feature Space Warping For Relevance Feedback
Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental rele...
KES
2005
Springer
14 years 26 days ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh