TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation.
Feng YuYanqiao ZhuQiang LiuShu WuLiang WangTieniu TanPublished in: SIGIR (2020)
Keyphrases
- neural network
- graph theory
- graph model
- pattern recognition
- recommender systems
- genetic algorithm
- weighted graph
- graph representation
- back propagation
- artificial neural networks
- connected components
- directed graph
- neural nets
- collaborative filtering
- graph structure
- bipartite graph
- neural network model
- self organizing maps
- structured data
- fuzzy logic
- activation function
- target tracking
- graph based algorithm
- random walk
- graph mining
- directed acyclic graph
- multi layer
- multilayer perceptron
- graph theoretic
- personalized recommendation
- website