Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.
Chen MaLiheng MaYingxue ZhangRuiming TangXue LiuMark CoatesPublished in: KDD (2020)
Keyphrases
- metric learning
- distance metric
- distance metric learning
- margin maximization
- pairwise
- semi supervised
- machine learning and pattern recognition
- query processing
- learning tasks
- multi task
- dimensionality reduction
- distance function
- recommender systems
- collaborative filtering
- probabilistic model
- feature space
- neural network
- data mining
- mahalanobis metric
- semi supervised learning
- support vector
- machine learning
- euclidean distance
- decision trees
- subject to linear constraints