Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.
Yitong PangLingfei WuQi ShenYiming ZhangZhihua WeiFangli XuEthan ChangBo LongJian PeiPublished in: WSDM (2022)
Keyphrases
- neural network
- personalized recommendation
- user modeling
- graph representation
- personalized information
- artificial neural networks
- recommender systems
- collaborative filtering
- graph model
- information filtering
- genetic algorithm
- news recommendation
- e learning
- feed forward
- multilayer perceptron
- fuzzy logic
- graph theoretic
- random walk
- graph mining
- pattern recognition
- global structure
- global consistency
- personalized services
- user profiles
- back propagation
- user preferences
- graph theory
- neural network model
- self organizing maps
- training process
- graph partitioning
- context aware
- weighted graph
- bipartite graph
- user specific
- information services
- graph matching
- personal preferences
- connected components