Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates.
Oren BarkanRoy HirschOri KatzAvi CaciularuJonathan WeillNoam KoenigsteinPublished in: CoRR (2021)
Keyphrases
- recommender systems
- collaborative filtering
- information integration
- data integration
- machine learning
- hybrid approaches
- data structure
- stochastic optimization
- personalized recommendation
- monte carlo
- data fusion
- stochastic nature
- learning automata
- stochastic process
- recommendation algorithms
- hybrid learning
- neural network
- dynamic programming
- evolutionary algorithm
- artificial neural networks
- website
- real world