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CIKM
2010
Springer
13 years 7 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
IPM
2002
68views more  IPM 2002»
13 years 8 months ago
A test of genetic algorithms in relevance feedback
10 There have been recent applications of genetic algorithms to information retrieval, mostly with respect to 11 relevance feedback. Nevertheless, they are yet to be evaluated in ...
Cristina López-Pujalte, Vicente P. Guerrero...
ICTIR
2009
Springer
14 years 3 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...
WWW
2002
ACM
14 years 9 months ago
Accelerated focused crawling through online relevance feedback
The organization of HTML into a tag tree structure, which is rendered by browsers as roughly rectangular regions with embedded text and HREF links, greatly helps surfers locate an...
Soumen Chakrabarti, Kunal Punera, Mallela Subraman...
CLEF
2010
Springer
13 years 9 months ago
Blind Relevance Feedback for the ImageCLEF Wikipedia Retrieval Task
In this paper we will describe Berkeley's approach to the ImageCLEF Wikipedia Retrieval task for 2010. Our approach to this task was primarily to use text-based searches on th...
Ray R. Larson