Insights into the Efficiency of Open-Source Score-at-a-Time Search Engines: A Reproducibility Study.
Katelyn Harlan|Andrew Trotman|Veronica Liesaputra
| Anthology ID: | DBLP:conf/sigir/HarlanTL26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2931-2941 |
| URL: | https://doi.org/10.1145/3805712.3808554 |
| DOI: | https://doi.org/10.1145/3805712.3808554 |
| DBLP: | conf/sigir/HarlanTL26 |
| BibTeX: |
@inproceedings{harlan-2026-insights,
author = {Katelyn Harlan and
Andrew Trotman and
Veronica Liesaputra},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{Insights into the Efficiency of Open-Source Score-at-a-Time Search Engines: A Reproducibility Study}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {2931--2941},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808554},
doi = {https://doi.org/10.1145/3805712.3808554}
}