Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for Recommendation.
Kang LiuFeng XueXiangnan HeDan GuoRichang HongPublished in: CoRR (2022)
Keyphrases
- collaborative filtering
- recommender systems
- data sparsity
- matrix factorization
- personalized recommendation
- recommendation systems
- user preferences
- fine grained
- random walk
- cold start problem
- deal with information overload
- content based filtering
- cold start
- web page recommendation
- directed graph
- collaborative filtering recommendation
- online dating
- recommendation quality
- latent factor models
- directed acyclic graph
- user ratings
- recommendation algorithms
- graph model
- information filtering
- bipartite graph
- implicit feedback
- graph theory
- information overload
- transfer learning
- structured data
- product recommendation
- social tagging systems
- graph structure
- graph mining
- item recommendation
- making recommendations
- spanning tree
- pearson correlation coefficient
- search engine
- image processing