DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
Daochen ZhaLouis FengQiaoyu TanZirui LiuKwei-Herng LaiBhargav BhushanamYuandong TianArun KejariwalXia HuPublished in: NeurIPS (2022)
Keyphrases
- recommender systems
- collaborative filtering
- user profiling
- matrix factorization
- vector space
- user profiles
- nonlinear dimensionality reduction
- user modeling
- database
- information overload
- information filtering
- trust aware
- product recommendation
- robust image watermarking
- graph embedding
- cold start
- cold start problem
- user model
- user preferences
- recommendation quality
- personalized recommendation
- data embedding
- content based filtering
- collaborative filtering recommender systems
- watermarking algorithm
- data sparsity
- user feedback
- prediction accuracy
- digital images
- high dimensional
- data sets