Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
Yitong PangLingfei WuQi ShenYiming ZhangZhihua WeiFangli XuEthan ChangBo LongPublished in: CoRR (2021)
Keyphrases
- neural network
- personalized recommendation
- artificial neural networks
- recommender systems
- graph representation
- pattern recognition
- collaborative filtering
- user modeling
- structured data
- genetic algorithm
- personalized information
- product recommendation
- information filtering
- graph theory
- e learning
- web personalization
- fuzzy logic
- graph structure
- directed graph
- individual user
- back propagation
- recommendation systems
- user profiles
- connected components
- training process
- fault diagnosis
- graph partitioning
- user preferences
- recurrent neural networks
- global consistency
- global structure
- graph matching
- mobile devices
- feed forward