Personalized Session-Based Recommendation Using Graph Attention Networks.
Yongquan XieZhengru LiTian QinFinn TsengJohannes KristinssonShiqi QiuYi Lu MurpheyPublished in: IJCNN (2021)
Keyphrases
- personalized recommendation
- heterogeneous social networks
- user modeling
- recommender systems
- collaborative filtering
- personalized information
- graph theory
- information filtering
- complex networks
- social networks
- graph representation
- graph structure
- e learning
- news recommendation
- random walk
- network structure
- bipartite graph
- graph mining
- recommendation systems
- average degree
- social graphs
- small world
- web personalization
- fully connected
- betweenness centrality
- product recommendation
- community discovery
- dynamic networks
- graph structures
- graph theoretic
- visual attention
- weighted graph
- protein interaction networks
- social graph
- directed graph
- personal preferences
- graph partitioning
- graph databases
- social network analysis
- graph model
- graph mining algorithms