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} }