Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems.
Deming ZhaiAo LiYang LiYang LiuGuoJun LiuXianming LiuMaozu GuoPublished in: PCM (1) (2018)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- data sparsity
- recommendation quality
- high dimensional
- cold start problem
- information overload
- small scale
- cold start
- user preferences
- user profiles
- latent factor models
- least squares
- probabilistic matrix factorization
- collaborative filtering recommender systems
- user modeling
- recommendation algorithms
- information filtering
- user interests
- recommendation systems
- active user
- hybrid recommendation
- item based collaborative filtering
- netflix prize
- collaborative filtering algorithms
- product recommendation
- manifold learning
- user ratings
- content based filtering
- euclidean space
- user model
- missing data
- online dating
- movie recommendation
- finite dimensional
- real world
- low dimensional
- rating matrix
- objective function