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A multiple relevance feedback strategy with positive and negative models. [PDF]
PLoS ONE, 2014 A commonly used strategy to improve search accuracy is through feedback techniques. Most existing work on feedback relies on positive information, and has been extensively studied in information retrieval. However, when a query topic is difficult and the
Yunlong Ma, Hongfei Lin
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A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval [PDF]
Scientific ReportsPre-trained models have garnered significant attention in the field of information retrieval, particularly for improving document ranking. Typically, an initial retrieval step using sparse methods such as BM25 is employed to obtain a set of pseudo ...
Min Pan +4 more
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Dual-force ISOMAP: a new relevance feedback method for medical image retrieval. [PDF]
PLoS ONE, 2013 With great potential for assisting radiological image interpretation and decision making, content-based image retrieval in the medical domain has become a hot topic in recent years.
Hualei Shen, Dacheng Tao, Dianfu Ma
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A Query Expansion Method Using Multinomial Naive Bayes
Applied Sciences, 2021 Information retrieval (IR) aims to obtain relevant information according to a certain user need and involves a great diversity of data such as texts, images, or videos. Query expansion techniques, as part of information retrieval (IR), are used to obtain
Sergio Silva +4 more
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Conceptual relevance feedback [PDF]
IEEE International Conference on Systems, Man and Cybernetics, 2005 Contains fulltext : 176141.pdf (Author’s version preprint ) (Open Access)
Grootjen, F.A., Weide, T.P. van der
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Graph Regularized Hierarchical Diffusion Process With Relevance Feedback for Medical Image Retrieval
IEEE Access, 2021 Befitting from the interpretability and the capacity in capturing the underlying manifold structure, diffusion process (DP) has attracted increasing attention in the field of image retrieval.
Liming Xu +4 more
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Journal of Computer Science and Technology, 2022 This article describes an information retrieval system with entity query expansion by relevance feedback. The performance of the system is tested assuming its usage as a support tool for lawyers constructing a legal framework for a case. The objective is
Joel Arnaldo Gimenez Catacora +2 more
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Salton and Buckley’s Landmark Research in Experimental Text Information Retrieval
Evidence Based Library and Information Practice, 2011 Objectives – To compare the performance of the vector space model and the probabilistic weighting model of relevance feedback for the overall purpose of determining the most useful relevance feedback procedures.
Christine F. Marton
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A Hybrid Text Generation-Based Query Expansion Method for Open-Domain Question Answering
Future Internet, 2023 In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers.
Wenhao Zhu +3 more
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Measuring pseudo relevance feedback & CLIR [PDF]
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, 2004 In this poster, we report on the effects of pseudo relevance feedback (PRF) for a cross language image retrieval task using a test collection. Typically PRF has been shown to improve retrieval performance in previous CLIR experiments based on average precision at a fixed rank.
Sanderson, M., Clough, P.
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