"Federated Multi-view Matrix Factorization for Personalized Recommendations."

Adrian Flanagan et al. (2020)

> Home

Details and statistics

DOI: 10.1007/978-3-030-67661-2_20

access: closed

type: Conference or Workshop Paper

metadata version: 2021-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/pkdd/FlanaganOGTKA20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/pkdd/FlanaganOGTKA20
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din:
Federated Multi-view Matrix Factorization for Personalized Recommendations. ECML/PKDD (2) 2020: 324-347

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.