Fair Access to Food Data in Africa: An Approach Based on Retrieval-Augmented Generation.

Jean Petit Bikim|Jamie Callan|Charles Loic Njiosseu|Emmanuel Leuna Fienkak|Jamie Callan|Jean Petit Bikim|Azanzi Jiomekong|Sören Auer


Anthology ID:DBLP:conf/sigir/BikimNFJA25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3122-3124
URL:https://doi.org/10.1145/3726302.3730266
DOI:https://doi.org/10.1145/3726302.3730266
DBLP:conf/sigir/BikimNFJA25
BibTeX:
@inproceedings{bikim-2025-fair, author = {Jean Petit Bikim and Jamie Callan and Charles Loic Njiosseu and Emmanuel Leuna Fienkak and Jamie Callan and Jean Petit Bikim and Azanzi Jiomekong and S\"{o}ren Auer}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Fair Access to Food Data in Africa: An Approach Based on Retrieval-Augmented Generation}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {3122--3124}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730266}, doi = {https://doi.org/10.1145/3726302.3730266} }