A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems.
Ye YuanXin LuoMingsheng ShangDi WuPublished in: WWW (2020)
Keyphrases
- recommender systems
- user preferences
- latent factor models
- collaborative filtering
- matrix factorization
- user behavior
- user profiles
- tag information
- recommendation systems
- user feedback
- implicit feedback
- user interests
- information overload
- personalized recommendation
- user specific
- data sparsity
- information retrieval
- cold start
- product recommendation
- user model