Results 21 to 30 of about 10,903 (240)
Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking
IEEE Access, 2019 Image retrieval effectiveness can be improved by pseudo relevance feedback (PRF), which automatically uses top-$k$ images of the initial retrieval result as the pseudo feedback.
Wei-Chao Lin
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Pseudo-Relevance Feedback Method Based on the Topic Relevance Model
Mathematical Problems in Engineering, 2022 In the field of information retrieval, most pseudo-relevance feedback models select candidate terms from the top k documents returned by the first-pass retrieval, but they cannot identify the reliability of these documents.
Zhaofeng Chen +6 more
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On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents [PDF]
, 2010 Pseudo-Relevance Feedback (PRF) assumes that the top-ranking n documents of the initial retrieval are relevant and extracts expansion terms from them. In this work, we introduce the notion of pseudo-irrelevant documents, i.e. high-scoring documents outside of top n that are highly unlikely to be relevant.
Karthik Raman +3 more
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Self-feedback image retrieval algorithm based on annular color moments
EURASIP Journal on Image and Video Processing, 2019 Content-based image retrieval (CBIR) extracts visual content features (such as color, texture, and shape) of a sample image to retrieve another similar image. Due to the existence of the semantic gap, retrieval results are often unsatisfactory.
Ying Deng, Yuanhui Yu
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An adaptive term proximity based rocchio’s model for clinical decision support retrieval
BMC Medical Informatics and Decision Making, 2019 Background In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature.
Min Pan +5 more
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Journal of Information and Organizational Sciences, 2018 In this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation.
Mawloud Mosbah
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End-to-end vertical web search pseudo relevance feedback queries recommendation software
SoftwareXUsers' web information needs are increasingly exploratory, seeking to navigate unfamiliar domains and discover knowledge. However, existing search engines struggle with ambiguous queries, leading to irrelevant results.
Tajmir Khan +4 more
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Generalized Analysis of a Distribution Separation Method
Entropy, 2016 Separating two probability distributions from a mixture model that is made up of the combinations of the two is essential to a wide range of applications. For example, in information retrieval (IR), there often exists a mixture distribution consisting of
Peng Zhang +5 more
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Ranks Aggregation and Semantic Genetic Approach based Hybrid Model for Query Expansion
International Journal of Computational Intelligence Systems, 2017 Effective query expansion terms selection methods are really very important for improving the accuracy and efficiency of Pseudo-Relevance Feedback (PRF) based automatic query expansion techniques in information retrieval system.
Jagendra Singh
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Advanced Functional Materials, EarlyView.Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr +7 more
wiley +1 more source