Relevance Feedback
Diverse relevance feedback for time series with autoencoder based summarizations
... utilizing relevance feed- back (RF) for time series, which has enjoyed a great deal of attention in information ...based relevance feedback in our PVLDB paper ...
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An Efficient Approach For Information Retrieval Based On Relevance Feedback Algorithm
... Relevance feedback works in the following way: a user submits a query representing his/her information need to the IR system, which then ranks the documents according to their corresponding degrees of ...
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Accelerating of Image Retrieval in CBIR System with Relevance Feedback
... A feature vector reduction described in Section 3 is embed- ded into our CBIR relevance feedback module reported in [25, 26]. A system is tested by using images from unclassified TRECVid 2006 dataset and ...
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A Comprehensive Review of Recent Relevance Feedback Techniques in CBIR
... of Relevance Feedback. Many schemes and techniques of relevance feedback exist with many assumptions and operating ...implementing relevance feedback in ...
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Acquiring Sense Tagged Examples using Relevance Feedback
... Future work will explore alternative methods for generating query terms including other types of relevance feedback and lexical association mea- sures (e.g. Chi-squared and mutual information). Experiments ...
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Improving biomedical information retrieval with pseudo and explicit relevance feedback
... All the publications that are retrieved from PubMed need to be transformed to a format that can be used by the system and its model. In the case of the re-ranking and relevance feedback models, TFIDF and BM ...
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A Survey on Relevance Feedback Mechanisms used for CBIR Systems
... of Relevance Feedback (RF) approaches have been widely developed to reduce this semantic gap which leads to much improved retrieval performance by updating a query and similarity measures according to users ...
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Exploring Pseudo-Relevance Feedback for Microblog Search
... This study explored the effectiveness of a classical information retrieval (IR) approach, pseudo-relevance feedback (PRF), on improving the performance of microblog search. Factors including number of PRF ...
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Efficient CBIR with Relevance Feedback for Remote Sensing Images
... retrieval, Relevance Feedback (RF) is an interactive process, which builds a bridge to connect users with a search ...the Relevance Feedback mechanism. Based on this feedback the CBIR ...
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Weighted relevance feedback and keyword based medical image annotation
... this relevance feedback mechanism, the feature weights are updated at each iteration by calculating the precision and order of the rank of relevant images from retrieved images in individual ...
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Images information retrieval using Gustafson-Kessel relevance feedback
... (clusters), relevance (weights) of features and the number of times these images are selected as a query and marked as positive or ...probabilistic relevance feedback method to improve the retrieval ...
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Generating Simulated Relevance Feedback: A Prognostic Search approach
... Implicit relevance feedback has proved to be a important resource in improv- ing search accuracy and ...user relevance feedback data, based on insights from query log ...ulated ...
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The use of implicit evidence for relevance feedback in web retrieval
... practice, relevance feedback can be very effective but it relies on users assessing the relevance of documents and indicating to the system which documents contain relevant ...for relevance, ...
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Relevance Feedback Models for Recommendation
... Our approach is based on the advancement in language modeling approaches to information re- trieval (IR) (Croft and Lafferty, 2003) and extends these to incorporate CF. The motivation behind our approach is the analogy ...
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Personal Web Revisitation by Context and Content Keywords with Relevance Feedback
... A relevance feedback mechanism is also involved to tailor to individual’s memory strength and revisitation ...With relevance feedback, the finding rate of WebPagePrevincreases by ...
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A survey on the use of relevance feedback for information access systems
... Although the pseudo RF techniques described in this section can improve retrieval performance over not using pseudo RF, the problem still remains that it is a variable technique: some queries will be improved, others ...
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Interactive query expansion and relevance feedback for document retrieval systems
... xviii ABSTRACT Abstract This thesis is aimed at investigating interactive query expansion within the context of a relevance feedback system that uses term weighting and ranking in search[r] ...
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Retrieval through explanation : an abductive inference approach to relevance feedback
... Relevance feedback techniques are designed to automatically improve a system's representation of a query by using documents the user has marked as ...traditional relevance feedback models ...
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Relevance feedback for cross language image retrieval
... Sanderson, M. and Clough, P. (2004) Relevance feedback for cross language image retrieval. In: Advances in Information Retrieval : 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April ...
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SVM Relevance Feedback in HSV Quantization for CBIR
... SVM relevance feedback technique on the Wang dataset is observed in terms of precision, recall, F-measure, and ...SVM relevance feedback technique is also concerned with the selection of ...
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