HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems.
Lucas Vinh TranYi TayShuai ZhangGao CongXiaoli LiPublished in: WSDM (2020)
Keyphrases
- metric learning
- recommender systems
- distance metric
- distance metric learning
- semi supervised
- learning tasks
- machine learning and pattern recognition
- pairwise
- multi task
- mahalanobis metric
- collaborative filtering
- dimensionality reduction
- distance function
- machine learning
- feature space
- learning algorithm
- low dimensional
- semi supervised learning
- matrix factorization
- pattern recognition
- text categorization
- background knowledge
- support vector
- neural network