Enabling Session-Based Recommender Systems Through Graph Convolutional Networks.
Boudjemaa BoudaaKheira Amel BelhocineAmel GuelfoutPublished in: IAM (2023)
Keyphrases
- recommender systems
- collaborative filtering
- dynamic networks
- complex networks
- average degree
- fully connected
- graph theory
- network structure
- directed graph
- small world
- graph representation
- matrix factorization
- random walk
- betweenness centrality
- user modeling
- protein interaction networks
- graph structure
- graph layout
- degree distribution
- structured data
- network size
- connected components
- network analysis
- graph mining
- graph theoretic
- graph model
- graph partitioning
- edge weights
- recommendation systems
- directed acyclic graph
- overlapping communities
- structural patterns
- citation networks
- community discovery
- user model
- user profiling
- deep learning
- implicit feedback
- community structure