IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.
Shen WangZiwei FanJibing GongXiaokai WeiPhilip S. YuPublished in: ICDM (Workshops) (2023)
Keyphrases
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- personalized recommendation
- user preferences
- data sparsity
- tag recommendation
- user ratings
- recommendation algorithms
- item recommendation
- implicit feedback
- data sparseness
- matrix factorization
- item based collaborative filtering
- recommendation systems
- music recommendation
- social networks
- social influence
- information overload
- user interests
- prediction accuracy
- network structure
- user profiles
- active learning