Document Reordering for Efficient Dynamic Pruning in Traditional and Learned Sparse Retrieval
Large scale Web search engines conduct first-stage retrieval using a traditional inverted index, on which they are expected to execute billions of queries on a very tight budget, i.e., less than 200 milliseconds. During query processing, the postings lists corresponding to each query term are traver...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11510186/ |
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