A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval
Abstract Pre-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-relevant documents, followed by re-ranking...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-12-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-82871-0 |
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