Feedback, term selection and relevance assessments
Selective relevance feedback using term characteristics
... of term use and relevance feedback (sections 5 and 6) and our conclusions (section ...as term characteristics) can improve retrieval effectiveness; secondly that it is possible, for each ...
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Variation of Relevance Assessments for Medical Image Retrieval.
... This is an author produced version of a paper published in Adaptive Multimedia Retrieval: User, Context, and Feedback.. White Rose Research Online URL for this paper: http://eprints.w[r] ...
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Information Retrieval Based On Relevance Feedback Algorithm
... as Relevance Feedback (RF); some relevance assessments about the retrieved documents are collected and the query is expanded by the terms found in the relevant documents, reduced by the terms ...
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Exploring Pseudo-Relevance Feedback for Microblog Search
... the term weighting scheme aimed at differentiating terms at higher ranks and lower ...of feedback terms was significantly smaller than the number of feedback ...the term selection ...
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A study of factors affecting the utility of implicit relevance feedback
... This presentation of progressively more information from documents to aid relevance assessments has been shown to be effective in earlier work [14, 16]. In Appendix A we show the complete interface to the ...
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A survey on the use of relevance feedback for information access systems
... complete relevance information; that we know all the relevant documents for a ...little relevance information and demonstrated that even very few relevance assessments, as few as one or two ...
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Relevance feedback for best match term weighting algorithms in information retrieval
... implicit feedback from the user. Relevance feedback inputs the user’s judgements on previously retrieved documents to construct a personalised query or user ...studies relevance ...
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CiteSeerX — Relevance Feedback and Inference Networks
... during feedback instead of talking about changing ...for relevance feedback, the weight associated with a query term is used to estimate the probability that an information need is satis ed ...
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Structure Cognizant Pseudo Relevance Feedback
... pseudo relevance feedback ...pansion term is found by weighting these importance based on whether the term be- longs to the title, the body, the infobox or the category ...
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Information Retrieval by Using Relevance Feedback
... Index Terms: - Nearest Neighbor Search, Rank Based Search, intrinsic dimensionality, Rank Cover Tree. I. INTRODUCTION Pruning and selection of all indices make a used for the numerical constraints. The data ...
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Blog, Web, Entity, and Relevance Feedback
... 4.4 Conclusion In this year’s web track, we submitted runs to both ad hoc task and diversity task. For the ad hoc task, we explored a ba- sic retrieval approaches, namely Markov Random Fields for modeling query ...
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TEMPER : A Temporal Relevance Feedback Method
... For a blog representation, we distribute its posts based on their publish date. In order to have a daily representation of the blog, we concatenate all the posts that have the same date. For a query representation, we ...
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Query Expansion Strategy based on Pseudo Relevance Feedback and Term Weight Scheme for Monolingual Retrieval
... Psuedo Relevance Feedback (PRF) is one such technique where the user submits a query and the search engine retrieves the relevant documents using some retrieval ...of relevance feedback ...
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Distance selection based on relevance feedback in the context of CBIR using the SFS meta-heuristic with one round
... the relevance notion from the user viewpoint and the automatic relevance of the ...The relevance from the user perspective is related to what he/she has in his/her mind about his/her needs, whereas ...
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Incorporating user search behaviour into relevance feedback
... In Experiment One we showed that the terms suggested by our new method of ranking expansion terms, F 4 _po, allowed the users to retrieve more relevant documents in fewer search iterations. In Experiment Two, we showed ...
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A Theoretical Analysis of Pseudo-Relevance Feedback Models
... the feedback documents, enforces the DF ...a term, the higher its TF is likely to be in average, so that this model can nevertheless indirectly select high frequency terms by selecting terms with high ...
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Tweetement: Pseudo-relevance Feedback for Twitter Search
... query term “NCAA” might be expanded to “NCAA Football” or “NCAA March Madness”, and one is more appropriate than the other depending on the time of the year or current ...
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A Feature Selection Based on Relevance and Redundancy
... feature selection do not consider the relevance between a term and its own category, the redundancy among ...feature selection based on analyzing how to measure the relevance and the ...
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Efficient CBIR with Relevance Feedback for Remote Sensing Images
... prior term of the distributions based on the density of unlabeled images in the image feature space for driving the selection of images during RF rounds and 2) the strategy to jointly evaluate the three ...
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Relevance Feedback Models for Recommendation
... Abstract We extended language modeling ap- proaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our ap- proach is based on the analogy between IR and CF, ...
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