Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems.
Ye YuanXin LuoMingsheng ShangXin-Yi CaiPublished in: ICNSC (2017)
Keyphrases
- latent factor models
- recommender systems
- sparse matrices
- high dimensional
- collaborative filtering
- matrix factorization
- floating point
- linear algebra
- low dimensional
- user profiles
- user preferences
- dimensionality reduction
- topic models
- high dimensional data
- latent factors
- data sets
- linear systems
- linear constraints
- implicit feedback
- rows and columns
- data points