Scaling Use-case Based Shopping using LLMs.
Sachin Farfade|Sachin Vernekar|Vineet Chaoji|Rajdeep Mukherjee
| Anthology ID: | DBLP:conf/wsdm/FarfadeVCM24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1165-1166 |
| URL: | https://doi.org/10.1145/3616855.3635748 |
| DOI: | https://doi.org/10.1145/3616855.3635748 |
| DBLP: | conf/wsdm/FarfadeVCM24 |
| BibTeX: |
@inproceedings{farfade-2024-scaling,
author = {Sachin Farfade and
Sachin Vernekar and
Vineet Chaoji and
Rajdeep Mukherjee},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{Scaling Use-case Based Shopping using LLMs}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {1165--1166},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635748},
doi = {https://doi.org/10.1145/3616855.3635748}
}