Graph Attention Collaborative Similarity Embedding for Recommender System.
Jinbo SongChao ChangFei SunZhenyang ChenGuoyong HuPeng JiangPublished in: DASFAA (3) (2021)
Keyphrases
- recommender systems
- similarity measure
- graph embedding
- collaborative filtering
- graph representation
- random walk
- multidimensional scaling
- graph theoretic
- inexact graph matching
- similarity measurement
- graph model
- music recommendation
- directed graph
- directed acyclic graph
- graph theory
- graph structure
- spectral embedding
- similarity graph
- nodes of a graph
- connected components
- bipartite graph
- visual attention
- normalized cut
- recommendation algorithms
- similarity scores
- user preferences
- structured data
- graph mining
- matrix factorization
- graph databases
- graph matching
- collaborative learning
- knowledge sharing
- user profiles
- social networks
- user similarity
- cold start problem
- vector space
- binary codes
- graph clustering
- similarity matrix