Improving Recommendations by Embedding Multi-Entity Relationships With Latent Dual-Metric Learning.
Yuanbo XuYongjian YangJiayu HanXiang LiEn WangPublished in: IEEE Access (2019)
Keyphrases
- metric learning
- maximum variance unfolding
- distance metric learning
- distance metric
- dimensionality reduction
- latent space
- pairwise
- semi supervised
- machine learning and pattern recognition
- nonlinear dimensionality reduction
- learning tasks
- distance function
- feature space
- multi task
- semi supervised clustering
- latent variables
- recommender systems
- semi supervised learning
- knowledge base
- subject to linear constraints
- laplacian eigenmaps
- mahalanobis metric
- low dimensional
- image classification
- named entities
- kernel function