Cold Start Recommendation Based on Attribute-Fused Singular Value Decomposition.
Xing GuoShi-Chao YinYiwen ZhangWei LiQiang HePublished in: IEEE Access (2019)
Keyphrases
- singular value decomposition
- cold start
- recommender systems
- collaborative filtering
- singular values
- data sparsity
- least squares
- user preferences
- low rank
- tag recommendation
- implicit feedback
- personalized recommendation
- dimensionality reduction
- principal component analysis
- user ratings
- recommendation algorithms
- matrix factorization
- low rank approximation
- vector space
- eye tracking
- information retrieval systems
- co occurrence
- learning algorithm