基于自适应样本权重的矩阵分解推荐算法 (Matrix Factorization Recommendation Algorithm Based on Adaptive Weighted Samples).
Xiaoling ShiZhi ChenLigong YangWei ShenPublished in: 计算机科学 (2019)
Keyphrases
- matrix factorization
- collaborative filtering
- recommendation algorithms
- recommender systems
- data sparsity
- low rank
- recommendation systems
- nonnegative matrix factorization
- cold start
- filtering algorithm
- probabilistic matrix factorization
- factorization methods
- negative matrix factorization
- user preferences
- personalized recommendation
- cold start problem
- missing data
- data sets
- factor analysis
- stochastic gradient descent
- item recommendation
- tensor factorization
- binary matrix
- implicit feedback
- latent factors
- link prediction
- factor matrices
- user profiles