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» A new robust relevance model in the language model framework
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SIGIR
2002
ACM
13 years 5 months ago
Cross-lingual relevance models
We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
Victor Lavrenko, Martin Choquette, W. Bruce Croft
SIGIR
2002
ACM
13 years 5 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai
IPM
2006
83views more  IPM 2006»
13 years 6 months ago
A risk minimization framework for information retrieval
This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...
ChengXiang Zhai, John D. Lafferty
EMNLP
2006
13 years 7 months ago
Relevance Feedback Models for Recommendation
We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the anal...
Masao Utiyama, Mikio Yamamoto
SIGIR
2004
ACM
13 years 11 months ago
Cluster-based retrieval using language models
Previous research on cluster-based retrieval has been inconclusive as to whether it does bring improved retrieval effectiveness over document-based retrieval. Recent developments ...
Xiaoyong Liu, W. Bruce Croft