A Personalized Recommendation Algorithm Based on Approximating the Singular Value Decomposition (ApproSVD).
Xun ZhouJing HeGuangyan HuangYanchun ZhangPublished in: IAT (2012)
Keyphrases
- singular value decomposition
- recommendation algorithms
- personalized recommendation
- recommender systems
- product recommendation
- filtering algorithm
- collaborative filtering
- recommendation systems
- user preferences
- singular values
- least squares
- principal component analysis
- low rank
- dimensionality reduction
- latent semantic indexing
- user profiles
- dimension reduction
- high dimensional
- user feedback
- feature selection
- low rank approximation