Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study.
Emmanuel Aboah Boateng|Kyle MacDonald|Akshad Viswanathan|Sudeep Das
| Anthology ID: | DBLP:conf/sigir/BoatengMVD26 |
|---|---|
| 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: | 4433-4437 |
| URL: | https://doi.org/10.1145/3805712.3808471 |
| DOI: | https://doi.org/10.1145/3805712.3808471 |
| DBLP: | conf/sigir/BoatengMVD26 |
| BibTeX: |
@inproceedings{boateng-2026-agentic,
author = {Emmanuel Aboah Boateng and
Kyle MacDonald and
Akshad Viswanathan and
Sudeep Das},
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 = {{Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case 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 = {4433--4437},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808471},
doi = {https://doi.org/10.1145/3805712.3808471}
}