Graph Convolutional Embeddings for Recommender Systems.
Paula Gómez DuranAlexandros KaratzoglouJordi VitriàXin XinIoannis ArapakisPublished in: CoRR (2021)
Keyphrases
- recommender systems
- collaborative filtering
- graph representation
- information overload
- random walk
- graph theory
- graph model
- user preferences
- directed acyclic graph
- weighted graph
- deep learning
- user profiles
- vector space
- directed graph
- trust aware
- recommendation quality
- graph structure
- low dimensional
- manifold learning
- unsupervised learning
- network architecture
- graph partitioning
- distance measure
- graph theoretic
- personalized recommendation
- feature selection
- user profiling
- learning algorithm
- neural network