A new item similarity based on α-divergence for collaborative filtering in sparse data.
Yong WangPengyu WangZhuo LiuLeo Yu ZhangPublished in: Expert Syst. Appl. (2021)
Keyphrases
- sparse data
- collaborative filtering
- collaborative filtering recommendation algorithm
- user preferences
- personalized recommendation
- user ratings
- item recommendation
- cold start problem
- making recommendations
- pearson correlation coefficient
- recommender systems
- hybrid recommendation
- high dimensional
- latent factor models
- recommendation algorithms
- cold start
- matrix factorization
- emerging patterns
- user similarity
- recommendation systems
- data sparsity
- active user
- multi category
- collaborative filtering algorithms
- face recognition
- data cube
- databases
- feature space
- multi dimensional
- image features
- active learning