Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation.
Kang LiuFeng XueXiangnan HeDan GuoRichang HongPublished in: IEEE Trans. Comput. Soc. Syst. (2023)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- personalized recommendation
- recommendation systems
- data sparsity
- user preferences
- recommendation algorithms
- online dating
- cold start
- graph structure
- graph theory
- social tagging systems
- web page recommendation
- cold start problem
- recommendation quality
- fine grained
- image processing
- directed graph
- information filtering
- graph representation
- social media
- collaborative filtering algorithms
- latent factor models
- transfer learning
- hybrid recommendation
- website
- item recommendation
- making recommendations
- convolution kernel
- collaborative filtering recommendation
- deal with information overload
- product recommendation
- graph databases
- directed acyclic graph
- user profiles
- user similarity
- user ratings
- diffusion process
- graph model
- user feedback
- structured data