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AIRS
2009
Springer
15 years 8 months ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan
JIIS
2002
102views more  JIIS 2002»
15 years 1 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
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
15 years 8 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
IRFC
2011
Springer
14 years 5 months ago
Combining Interaction and Content for Feedback-Based Ranking
The paper is concerned with the design and the evaluation of the combination of user interaction and informative content features for implicit and pseudo feedback-based document re...
Emanuele Di Buccio, Massimo Melucci, Dawei Song
118
Voted
ICPR
2008
IEEE
16 years 2 months ago
Learning weighted distances for relevance feedback in image retrieval
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...