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...
Na minha lista:
| Principais autores: | , |
|---|---|
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2026-01-01
|
| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/11510186/ |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|