Graph Convolutional Embeddings for Recommender Systems.
Paula Gómez DuranAlexandros KaratzoglouJordi VitriàXin XinIoannis ArapakisPublished in: IEEE Access (2021)
Keyphrases
- similarity measure
- recommender systems
- graph model
- collaborative filtering
- graph representation
- similarity search
- bipartite graph
- directed graph
- random walk
- sparse coding
- user modeling
- matrix factorization
- dimensionality reduction
- graph mining
- connected components
- user model
- deep learning
- user profiling
- graph theory
- cold start problem
- user profiles
- graph theoretic
- data sparsity
- recommendation quality
- recommendation systems
- directed acyclic graph
- weighted graph
- manifold learning
- graph matching
- vector space
- eye tracking
- user preferences
- graphical models