Modelling Dynamic Item Complementarity with Graph Neural Network for Recommendation.
Yingwai ShiuWeizhi MaMin ZhangYiqun LiuShaoping MaPublished in: CCIR (2021)
Keyphrases
- neural network
- dynamic environments
- personalized recommendation
- artificial neural networks
- user preferences
- item recommendation
- pattern recognition
- dynamic graph
- graph structure
- neural network model
- graph theory
- graph databases
- graph model
- graph theoretic
- recurrent neural networks
- dynamic networks
- incomplete information
- random walk
- recommender systems
- neural network is trained
- graph representation
- collaborative filtering recommendation algorithm
- recommendation systems
- graph mining
- multi layer
- weighted graph
- feed forward
- connected components
- self organizing maps
- collaborative filtering
- genetic algorithm