Learnable Embedding Sizes for Recommender Systems.
Siyi LiuChen GaoYihong ChenDepeng JinYong LiPublished in: CoRR (2021)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user profiling
- user preferences
- user modeling
- information overload
- recommendation quality
- cold start problem
- hypothesis space
- positive examples
- trust aware
- learning algorithm
- nonlinear dimensionality reduction
- data sparsity
- user profiles
- low dimensional
- machine learning
- user ratings
- learning from positive data
- recommendation systems
- user interests
- user model
- decision trees
- pattern languages
- recommendation algorithms
- multidimensional scaling
- pac learning
- watermarking algorithm
- information hiding
- data embedding
- user behavior
- upper bound