Personalization Recommendation Algorithm Based on Trust Correlation Degree and Matrix Factorization.
Weimin LiXiaokang ZhouShohei ShimizuMingjun XinJiulei JiangHonghao GaoQun JinPublished in: IEEE Access (2019)
Keyphrases
- matrix factorization
- recommendation algorithms
- collaborative filtering
- recommender systems
- personalized recommendation
- recommendation systems
- low rank
- user preferences
- user profiles
- nonnegative matrix factorization
- factor analysis
- personalized ranking
- cold start
- negative matrix factorization
- factorization methods
- data sparsity
- cold start problem
- user model
- stochastic gradient descent
- product recommendation
- user interests
- item recommendation
- image processing
- implicit feedback
- learning to rank
- probabilistic matrix factorization
- link prediction
- latent factors
- tensor factorization
- user behavior
- information retrieval systems