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} }