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» Extending Relevance Model for Relevance Feedback
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SIGIR
2009
ACM
15 years 6 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
15 years 1 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»
14 years 11 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
15 years 3 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
15 years 3 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