SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet

Min Pan; Quanli Pei; Yu Liu; Teng Li; Ellen Anne Huang; Junmei Wang; Jimmy Xiangji Huang

doi:10.1016/j.knosys.2023.110602

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JOURNAL ARTICLE

SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet

Min Pan Quanli Pei Yu Liu Teng Li Ellen Anne Huang Junmei Wang Jimmy Xiangji Huang

Year: 2023 Journal: Knowledge-Based Systems Vol: 274 Pages: 110602-110602 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2023.110602

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Keywords:

Computer science Relevance feedback Information retrieval Relevance (law) Query expansion Baseline (sea) Process (computing) Learning to rank Ranking (information retrieval) Term Discrimination Term (time) Concept search Artificial intelligence Data mining Search engine Web search query Image retrieval

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4.85

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0.94

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Is in top 1%

Is in top 10%

Citation History

Topics

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Information Retrieval and Search Behavior

Physical Sciences → Computer Science → Information Systems

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet

Metrics

Citation History

Topics

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