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» Relevance Feedback Models for Recommendation
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SIGIR
2008
ACM
13 years 7 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
ISCSCT
2008
IEEE
14 years 1 months ago
Partial Relevance Feedback for 3D Model Retrieval
—Relevance feedback(RF) has been proved to be an effective way to improve the precision and recall of 3D model retrieval. However, the existing RF approaches do not consider whic...
Baokun Hu, Yusheng Liu, Shuming Gao, Jing Hu
JMM
2007
109views more  JMM 2007»
13 years 7 months ago
Multi-Feature Integration with Relevance Feedback on 3D Model Similarity Retrieval
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
Saiful Akbar, Josef Küng, Roland Wagner
MMM
2005
Springer
128views Multimedia» more  MMM 2005»
14 years 1 months ago
Feature Combination and Relevance Feedback for 3D Model Retrieval
Retrieval of 3D models have attracted much research interest, and many types of shape features have been proposed. In this paper, we describe a novel approach of combining the fea...
Indriyati Atmosukarto, Wee Kheng Leow, Zhiyong Hua...
PRIMA
2004
Springer
14 years 24 days ago
Modeling e-Procurement as Co-adaptive Matchmaking with Mutual Relevance Feedback
This paper proposes a new e-procurement model for a large number of buyers and sellers interacting via the Internet. The goal of e-procurement is to create a satisfactory match bet...
Reiko Hishiyama, Toru Ishida