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Pseudo relevance feedback optimization
Information Retrieval Journal, 2021We propose a method for automatic optimization of pseudo relevance feedback (PRF) in information retrieval. Based on the conjecture that the initial query’s contribution to the final query may not be necessary once a good model is built from pseudo relevant documents, we set out to optimize per query only the number of top-retrieved documents to be ...
Arampatzis A., Peikos G., Symeonidis S.
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ACM Transactions on Information Systems, 2019
Document retrieval methods that utilize relevance feedback often induce a single query model from the set of feedback documents, specifically, the relevant documents. We empirically show that for a few state-of-the-art query-model induction methods, retrieval performance can be significantly improved by constructing the query model from a subset of the
Fiana Raiber, Oren Kurland
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Document retrieval methods that utilize relevance feedback often induce a single query model from the set of feedback documents, specifically, the relevant documents. We empirically show that for a few state-of-the-art query-model induction methods, retrieval performance can be significantly improved by constructing the query model from a subset of the
Fiana Raiber, Oren Kurland
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Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, 2004
One of the most important characteristics about relevance feedback is that it ideally finds a set of human perceptually correlated results because the user is directly involved in the search process. In principle, relevance feedback is an iterative learning process where positive and negative examples accumulate as the user gives feedback on each new ...
Micha Haas +3 more
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One of the most important characteristics about relevance feedback is that it ideally finds a set of human perceptually correlated results because the user is directly involved in the search process. In principle, relevance feedback is an iterative learning process where positive and negative examples accumulate as the user gives feedback on each new ...
Micha Haas +3 more
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Proceedings of the 1st international conference on Information interaction in context - IIiX, 2006
We present results of a preliminary study of a pile-based information retrieval interface that supports contextual relevance feedback. We designed two interfaces based on the pile metaphor, one which supported contextual relevance feedback and the other which did not, and conducted a within-subjects laboratory evaluation with 24 subjects.
David J. Harper, Diane Kelly
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We present results of a preliminary study of a pile-based information retrieval interface that supports contextual relevance feedback. We designed two interfaces based on the pile metaphor, one which supported contextual relevance feedback and the other which did not, and conducted a within-subjects laboratory evaluation with 24 subjects.
David J. Harper, Diane Kelly
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3D relevance feedback via multilevel relevance judgements
The Visual Computer, 2010Relevance feedback techniques are expected to play an important role in 3D search engines, as they help to bridge the semantic gap between the user and the system. Indeed, similarity is a cognitive process that depends on the observer. We propose a novel relevance feedback technique, which relies on the assumption that similarity may emerge from the ...
D. Giorgi +3 more
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Collaborative pseudo-relevance feedback
Expert Systems with Applications, 2013Pseudo-relevance feedback (PRF) is a technique commonly used in the field of information retrieval. The performance of PRF is heavily dependent upon parameter values. When relevance judgements are unavailable, these parameters are difficult to set. In the following paper, we introduce a novel approach to PRF inspired by collaborative filtering (CF). We
Dong Zhou +3 more
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Incremental relevance feedback
Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92, 1992Although relevance feedback techniques have been investigated for more than 20 years, hardly any of these techniques has been implemented in a commercial full-text document retrieval system. In addition to pure performance problems, this is due to the fact that the application of relevance feedback techniques increases the complexity of the user ...
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Relevance feedback in Surfimage
Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201), 2002Relevance feedback is one of the strong components of Surfimage, the INRIA content-based image retrieval system. Relevance feedback is about learning from user interaction, and is useful in tasks like query refinement and multiple queries. We present two relevance feedback techniques currently implemented in Surfimage.
C. Meilhac, M. Mitschke, C. Nastar
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Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92, 1992
Researchers have found relevance feedback to be effective in interactive information retrieval, although few formal user experiments have been made. In order to run a user experiment on a large document collection, experiments were performed at NIST to complete some of the missing links found in using the probabilistic retrieval model.
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Researchers have found relevance feedback to be effective in interactive information retrieval, although few formal user experiments have been made. In order to run a user experiment on a large document collection, experiments were performed at NIST to complete some of the missing links found in using the probabilistic retrieval model.
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Diversified relevance feedback
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013The need for a search engine to deal with ambiguous queries has been known for a long time (diversification). However, it is only recently that this need has become a focus within information retrieval research. How to respond to indications that a result is relevant to a query (relevance feedback) has also been a long focus of research.
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