"On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on ..."

Olivier Jeunen et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3632754.3632940

access: closed

type: Conference or Workshop Paper

metadata version: 2024-07-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/fire/JeunenSDKPKUGMS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/fire/JeunenSDKPKUGMS23
Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. Danish Kalim, Aleksei Ustimenko, Christopher Green, Rishabh Mehrotra, Wenzhe Shi:
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. FIRE 2023: 136-141

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.