"Uplift-based evaluation and optimization of recommenders."

Masahiro Sato et al. (2019)

> Home

Details and statistics

DOI: 10.1145/3298689.3347018

access: closed

type: Conference or Workshop Paper

metadata version: 2021-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/recsys/SatoSTSZO19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/recsys/SatoSTSZO19
Masahiro Sato, Janmajay Singh, Sho Takemori, Takashi Sonoda, Qian Zhang, Tomoko Ohkuma:
Uplift-based evaluation and optimization of recommenders. RecSys 2019: 296-304

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.