On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat.

Olivier Jeunen|Hitesh Sagtani|Himanshu Doi|Rasul Karimov|Neeti Pokharna|Md. Danish Kalim|Aleksei Ustimenko|Christopher Green|Rishabh Mehrotra|Wenzhe Shi


Anthology ID:DBLP:conf/fire/JeunenSDKPKUGMS23
Volume:Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023
Year:2023
Venue:Forum for Information Retrieval Evaluation (FIRE)
Publisher:ACM
Pages:136-141
URL:https://doi.org/10.1145/3632754.3632940
DOI:https://doi.org/10.1145/3632754.3632940
DBLP:conf/fire/JeunenSDKPKUGMS23
BibTeX:
@inproceedings{jeunen-2023-gradient, author = {Olivier Jeunen and Hitesh Sagtani and Himanshu Doi and Rasul Karimov and Neeti Pokharna and Md. Danish Kalim and Aleksei Ustimenko and Christopher Green and Rishabh Mehrotra and Wenzhe Shi}, editor = {Debasis Ganguly and Srijoni Majumdar and Bhaskar Mitra and Parth Gupta and Surupendu Gangopadhyay and Prasenjit Majumder}, title = {{On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat}}, booktitle = {{Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023}}, pages = {136--141}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3632754.3632940}, doi = {https://doi.org/10.1145/3632754.3632940} }