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Learning by examples as relevance feedback and relevance feedback as learning by examples
IEE Two-day Seminar. Searching for Information: Artificial Intelligence and Information Retrieval Approaches, 1999The relevance feedback in information retrieval (IR) is used for query formulation and consists of assessing a sample of retrieved documents. Probably, the most known probabilistic model based on learning from relevance feedback is the so called Robertson and Sparck-Jones' model (RSJ) (S. Robertson and K. Sparck-Jones, 1976; C.
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Image Retrieval and Relevance Feedback
2009Relevance feedback is a means for refining a query in an information retrieval system by asking the user to specify how relevant each result of the query is. An image retrieval session relying on relevance feedback is interactive and iterative. The session is divided into several consecutive rounds; at every round, the user provides feedback regarding ...
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The Effects of Relevance Feedback Quality and Quantity in Interactive Relevance Feedback
2012The original publication is available at www.springerlink.com.
Keskustalo, Heikki +2 more
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Optimization of relevance feedback weights
Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95, 1995Chris Buckley, Gerard Salton
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Block-based pseudo-relevance feedback for image retrieval
Journal of Experimental and Theoretical Artificial Intelligence, 2022Wei-Chao Lin
exaly
A test of genetic algorithms in relevance feedback
Information Processing and Management, 2002Cristina López-Pujalte +1 more
exaly
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
Dacheng Tao, Xiaoou Tang, Xuelong Li
exaly
Dacheng Tao, Xiaoou Tang, Xuelong Li
exaly
Flexible pseudo-relevance feedback via selective sampling
ACM Transactions on Asian Language Information Processing, 2005Sakaitetsuya
exaly

