MPIA: Multiple Preferences with Item Attributes for Graph Convolutional Collaborative Filtering.
Ming HeZekun HuangHan WenPublished in: ICWE (2021)
Keyphrases
- user preferences
- collaborative filtering
- making recommendations
- recommender systems
- multi attribute
- random walk
- weighted graph
- cold start problem
- personalized recommendation
- decision making
- graph structure
- graph theory
- recommendation systems
- graph matching
- data sparsity
- user behavior
- matrix factorization
- multiple attributes
- connected components
- attributed graphs
- rating prediction
- demographic information
- pearson correlation coefficient
- item based collaborative filtering