AutoShard: Automated Embedding Table Sharding for Recommender Systems.
Daochen ZhaLouis FengBhargav BhushanamDhruv ChoudharyJade NieYuandong TianJay ChaeYinbin MaArun KejariwalXia HuPublished in: CoRR (2022)
Keyphrases
- recommender systems
- collaborative filtering
- database
- semi automated
- user profiling
- product recommendation
- user preferences
- vector space
- matrix factorization
- fully automated
- recommendation quality
- cold start problem
- information overload
- user profiles
- semi automatic
- personalized recommendation
- implicit feedback
- prediction accuracy
- cold start
- high dimensional
- data sets