Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization.
Ariel EvnineStratis IoannidisDimitris KalimerisShankar KalyanaramanWeiwei LiIsrael NirWei SunUdi WeinsbergPublished in: KDD (2024)
Keyphrases
- multistage
- recommender systems
- collaborative filtering
- user profiling
- stochastic programming
- user preferences
- stochastic optimization
- user model
- user profiles
- user modeling
- dynamic programming
- single stage
- production system
- information filtering
- lot sizing
- matrix factorization
- information overload
- recommendation systems
- attack detection
- personalized recommendation
- news recommendation
- web personalization
- product recommendation
- assembly systems
- machine learning
- personal preferences
- cold start problem
- interconnection networks
- optimal policy
- parallel algorithm
- user interests
- finite horizon