Learnable Embedding sizes for Recommender Systems.
Siyi LiuChen GaoYihong ChenDepeng JinYong LiPublished in: ICLR (2021)
Keyphrases
- recommender systems
- collaborative filtering
- user profiles
- user preferences
- vector space
- information overload
- user modeling
- user model
- cold start problem
- cold start
- pac learning
- user profiling
- trust aware
- dnf formulas
- watermarking algorithm
- recommendation systems
- matrix factorization
- hypothesis space
- nonlinear dimensionality reduction
- data hiding
- product recommendation