Unraveling Metric Vector Spaces With Factorization for Recommendation.
Shuai ZhangLina YaoBin WuXiwei XuXiang ZhangLiming ZhuPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- vector space
- metric space
- distance measure
- riemannian manifolds
- riemannian metric
- collaborative filtering
- similarity search
- matrix factorization
- recommender systems
- euclidean space
- intrinsic dimensionality
- graph classification
- distance function
- low dimensional
- covariance matrices
- distance metric
- pairwise
- metric learning
- feature vectors
- singular value decomposition
- high dimensional
- range queries
- similarity measure
- euclidean distance
- knn
- pattern recognition