Results 21 to 30 of about 2,490,590 (283)
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback
IEEE Access, 2021 Pseudo relevance feedback (PRF) automatically performs query expansion based on top-retrieved documents to better represent the user’s information need so as to improve the search results.
Handong Ma +8 more
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Relevance feedback models for recommendation [PDF]
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06, 2006 We extended language modeling approaches in information retrieval (IR) to combine collaborative filtering (CF) and content-based filtering (CBF). Our approach is based on the analogy between IR and CF, especially between CF and relevance feedback (RF). Both CF and RF exploit users' preference/relevance judgments to recommend items. We first introduce a
Masao Utiyama, Mikio Yamamoto
openaire +2 more sources
Exploring accumulative query expansion for relevance feedback [PDF]
, 2010 For the participation of Dublin City University (DCU) in the Relevance Feedback (RF) track of INEX 2010, we investigated the relation between the length of relevant text passages and the number of RF terms.
Ganguly, Debasis +5 more
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Research on relevance: A systematic review
Iranian Journal of Information Processing & Management, 2021 Relevance is one of the concepts that many researchers consider it fundamental in information retrieval. Recently, relevance has also been given attention in Iran about which multiple studies have been conducted.
Yaghoub Norouzi +2 more
doaj
Implementing Relevance Feedback for Content-Based Medical Image Retrieval
IEEE Access, 2020 Content-based image medical retrieval (CBMIR) is a technique for retrieving medical images on the basis of automatically derived image features such as colour, texture and shape. There are many applications of CBMIR, such as teaching, research, diagnosis
Ali Ahmed
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An Adaptive Weight Method for Image Retrieval Based Multi-Feature Fusion
Entropy, 2018 With the rapid development of information storage technology and the spread of the Internet, large capacity image databases that contain different contents in the images are generated.
Xiaojun Lu +4 more
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IEEE Access, 2019 In this study, we propose a novel method for generating an image of the target face by using the generative adversarial network (GAN) and relevance feedback.
Caie Xu +4 more
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Modified one-class support vector machine for content-based image retrieval with relevance feedback
Cogent Engineering, 2018 Image retrieval via traditional Content-Based Image Retrieval (CBIR) often incurs the semantic gap problem—non-correlation of image retrieval results with human semantic interpretation of images.
Oluwole A. Adegbola +4 more
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A simulated study of implicit feedback models [PDF]
, 2004 In this paper we report on a study of implicit feedback models for unobtrusively tracking the information needs of searchers. Such models use relevance information gathered from searcher interaction and can be a potential substitute for explicit ...
van Rijsbergen, C.J. +3 more
core +5 more sources
Neurophysiological evidence for evaluative feedback processing depending on goal relevance
NeuroImage, 2020 Feedback signaling the success or failure of actions is readily exploited to implement goal-directed behavior. Two event-related brain potentials (ERPs) have been identified as reliable markers of evaluative feedback processing: the Feedback-Related ...
Mario Carlo Severo +4 more
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