Federated Multi-view Matrix Factorization for Personalized Recommendations.
Adrian FlanaganWere OyomnoAlexander GrigorievskiyKuan Eeik TanSuleiman A. KhanMuhammad Ammad-ud-dinPublished in: CoRR (2020)
Keyphrases
- multi view
- matrix factorization
- personalized recommendation
- collaborative filtering
- recommender systems
- multiple views
- negative matrix factorization
- data sparsity
- d objects
- user interests
- semi supervised
- recommendation systems
- user preferences
- three dimensional
- recommendation algorithms
- factorization method
- information overload
- user model
- user feedback
- web users
- least squares
- user ratings
- information retrieval