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» A Hidden Markov Model Information Retrieval System
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CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
15 years 9 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew
SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
14 years 10 months ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou
CIKM
2009
Springer
16 years 1 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
JAIR
2011
88views more  JAIR 2011»
14 years 10 months ago
From "Identical" to "Similar": Fusing Retrieved Lists Based on Inter-Document Similarities
We present a novel approach to fusing document lists that are retrieved in response to a query. Our approach is based on utilizing information induced from inter-document similarit...
Anna Khudyak Kozorovitzky, Oren Kurland
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 7 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher