Causal Incremental Graph Convolution for Recommender System Retraining.
Sihao DingFuli FengXiangnan HeYong LiaoJun ShiYongdong ZhangPublished in: CoRR (2021)
Keyphrases
- recommender systems
- directed acyclic graph
- graph representation
- collaborative filtering
- random walk
- weighted graph
- graph theory
- causal models
- information filtering
- directed graph
- structured data
- graph model
- bipartite graph
- image processing
- spanning tree
- random graphs
- causal graph
- matrix factorization
- user preferences
- bayesian networks
- link analysis
- graph matching
- connected components
- user profiles
- causal relationships
- recommendation algorithms
- personalized recommendation
- clustering algorithm
- causal reasoning
- search engine
- graph based algorithm