Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets.
Sebastian Bruch|Franco Maria Nardini|Cosimo Rulli|Rossano Venturini|Leonardo Venuta
| Anthology ID: | DBLP:conf/ecir/BruchNRVV25 |
|---|---|
| Volume: | Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III |
| Year: | 2025 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 437-445 |
| URL: | https://doi.org/10.1007/978-3-031-88714-7_43 |
| DOI: | https://doi.org/10.1007/978-3-031-88714-7_43 |
| DBLP: | conf/ecir/BruchNRVV25 |
| BibTeX: |
@inproceedings{bruch-2025-investigating,
author = {Sebastian Bruch and
Franco Maria Nardini and
Cosimo Rulli and
Rossano Venturini and
Leonardo Venuta},
editor = {Claudia Hauff and
Craig Macdonald and
Dietmar Jannach and
Gabriella Kazai and
Franco Maria Nardini and
Fabio Pinelli and
Fabrizio Silvestri and
Nicola Tonellotto},
title = {{Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets}},
booktitle = {{Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III}},
series = {Lecture Notes in Computer Science},
volume = {15574},
pages = {437--445},
publisher = {Springer},
year = {2025},
url = {https://doi.org/10.1007/978-3-031-88714-7_43},
doi = {https://doi.org/10.1007/978-3-031-88714-7_43}
}