Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.
Chen MaLiheng MaYingxue ZhangRuiming TangXue LiuMark CoatesPublished in: CoRR (2021)
Keyphrases
- metric learning
- distance metric
- distance metric learning
- margin maximization
- machine learning and pattern recognition
- dimensionality reduction
- pairwise
- learning tasks
- distance function
- multi task
- semi supervised
- feature space
- query processing
- collaborative filtering
- probabilistic model
- recommender systems
- maximum margin
- mahalanobis metric
- semi supervised learning
- model selection
- multi class
- fully supervised
- pattern recognition
- support vector
- image processing
- learning experience
- euclidean distance
- supervised learning
- support vector machine
- data points
- high dimensional