QAGCF: Graph Collaborative Filtering for Q&A Recommendation.
Changshuo ZhangTeng ShiXiao ZhangYanping ZhengRuobing XieQi LiuJun XuJi-Rong WenPublished in: CoRR (2024)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation systems
- data sparsity
- matrix factorization
- graph theory
- user preferences
- personalized recommendation
- latent factor models
- graph structure
- random walk
- cold start problem
- recommendation algorithms
- web page recommendation
- product recommendation
- graph theoretic
- online dating
- graph representation
- deal with information overload
- graph model
- user profiles
- structured data
- directed graph
- bipartite graph
- cold start
- information filtering
- recommendation quality
- implicit feedback
- user ratings
- content based filtering
- transfer learning
- hybrid recommendation
- probabilistic matrix factorization
- spanning tree
- user interests
- weighted graph
- link prediction
- item recommendation
- graph mining
- rating matrix