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» Relevance and Reinforcement in Interactive Browsing
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CIKM
2000
Springer
13 years 9 months ago
Relevance and Reinforcement in Interactive Browsing
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
Anton Leuski
CIKM
2009
Springer
13 years 2 months ago
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
Kalervo Järvelin
WWW
2008
ACM
14 years 5 months ago
Mining the search trails of surfing crowds: identifying relevant websites from user activity
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
Mikhail Bilenko, Ryen W. White
CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
13 years 8 months ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes
ACIVS
2005
Springer
13 years 10 months ago
Interactive Object-Based Retrieval Using Relevance Feedback
In this paper we present an interactive, object-based video retrieval system which features a novel query formulation method that is used to iteratively refine an underlying model...
Sorin Sav, Hyowon Lee, Noel E. O'Connor, Alan F. S...