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» Extending Relevance Model for Relevance Feedback
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SIGIR
2009
ACM
14 years 1 months ago
Approximating true relevance distribution from a mixture model based on irrelevance data
Pseudo relevance feedback (PRF), which has been widely applied in IR, aims to derive a distribution from the top n pseudo relevant documents D. However, these documents are often ...
Peng Zhang, Yuexian Hou, Dawei Song
ECIR
2008
Springer
13 years 8 months ago
Use of Implicit Graph for Recommending Relevant Videos: A Simulated Evaluation
In this paper, we propose a model for exploiting community based usage information for video retrieval. Implicit usage information from a pool of past users could be a valuable sou...
David Vallet, Frank Hopfgartner, Joemon M. Jose
JIIS
2002
102views more  JIIS 2002»
13 years 7 months ago
Using Dempster-Shafer's Theory of Evidence to Combine Aspects of Information Use
In this paper we propose a model for relevance feedback. Our model combines evidence from user's relevance assessments with algorithms describing how words are used within do...
Ian Ruthven, Mounia Lalmas
CIKM
1995
Springer
13 years 11 months ago
Learning Subjective Relevance to Facilitate Information Access
As the amount of available electronic information is dramatically increasing, the ability for rapid and e ective access to information has become critical. Most traditional inform...
James R. Chen, Nathalie Mathe
SIGIR
2010
ACM
13 years 11 months ago
Interactive retrieval based on faceted feedback
Motivated by the commonly used faceted search interface in e-commerce, this paper investigates interactive relevance feedback mechanism based on faceted document metadata. In this...
Lanbo Zhang, Yi Zhang