RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation.
Geet SethiBilge AcunNiket AgarwalChristos KozyrakisCaroline TrippelCarole-Jean WuPublished in: CoRR (2022)
Keyphrases
- optimization problems
- optimization process
- optimization algorithm
- associative memory
- user preferences
- neural network
- information theoretic
- gaussian markov random fields
- memory size
- memory usage
- recommendation systems
- network architecture
- statistical methods
- case study
- optimization method
- memory requirements
- statistical analysis
- constrained optimization
- simulated annealing
- recommender systems
- statistical information
- data sets
- memory space
- computing power
- bio inspired
- collaborative filtering
- scale space
- optimization methods
- information processing
- combinatorial optimization