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TREC
2008
13 years 6 months ago
Extending Relevance Model for Relevance Feedback
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users' feedback f...
Le Zhao, Chenmin Liang, Jamie Callan
WWW
2005
ACM
14 years 6 months ago
Comparing relevance feedback algorithms for web search
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayli...
SIGIR
2006
ACM
13 years 11 months ago
Semantic term matching in axiomatic approaches to information retrieval
A common limitation of many retrieval models, including the recently proposed axiomatic approaches, is that retrieval scores are solely based on exact (i.e., syntactic) matching o...
Hui Fang, ChengXiang Zhai
MUE
2007
IEEE
124views Multimedia» more  MUE 2007»
13 years 11 months ago
Music Information Retrieval Using a GA-based Relevance Feedback
Recently, there has been an increased interest in the query reformulation using relevance feedback with evolutionary techniques such as genetic algorithm for multimedia informatio...
Seungmin Rho, Eenjun Hwang, Minkoo Kim
CLEF
2000
Springer
13 years 9 months ago
Translation Resources, Merging Strategies, and Relevance Feedback for Cross-Language Information Retrieval
This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks....
Djoerd Hiemstra, Wessel Kraaij, Renée Pohlm...