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RIAO
2004
13 years 9 months ago
Combining Positive and Negative Query Feedback in Passage Retrieval
Information Retrieval Systems aim at retrieving relevant documents according to the information needs which users express. Most Information Retrieval Systems focus on passage retr...
Taoufiq Dkaki, Josiane Mothe
SIGIR
2005
ACM
14 years 1 months ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
ACL
2006
13 years 9 months ago
Chinese-English Term Translation Mining Based on Semantic Prediction
Using abundant Web resources to mine Chinese term translations can be applied in many fields such as reading/writing assistant, machine translation and crosslanguage information r...
Gaolin Fang, Hao Yu, Fumihito Nishino
ECIR
2006
Springer
13 years 9 months ago
Supporting Relevance Feedback in Video Search
Abstract. WWW Video Search Engines have become increasingly commonplace within the last few years and at the same time video retrieval research has been receiving more attention wi...
Cathal Gurrin, Dag Johansen, Alan F. Smeaton
SIGIR
1999
ACM
13 years 12 months ago
Information Retrieval as Statistical Translation
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Adam L. Berger, John D. Lafferty