Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.
Daqing WuXiao LuoZeyu MaChong ChenPengfei WangMinghua DengJinwen MaPublished in: ICDM (2021)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation systems
- data sparsity
- matrix factorization
- personalized recommendation
- online dating
- user preferences
- latent factor models
- recommendation quality
- cold start problem
- item based collaborative filtering
- product recommendation
- graph theory
- user ratings
- item recommendation
- deal with information overload
- information filtering
- link prediction
- random walk
- collaborative filtering recommendation
- user profiles
- directed graph
- weighted graph
- recommendation algorithms
- graph theoretic
- cold start
- user interests
- bipartite graph
- social tagging systems
- graph mining
- demographic information
- transfer learning
- structured data
- directed acyclic graph
- web page recommendation
- collaborative filtering recommendation algorithm