Alleviating the data sparsity problem of recommender systems by clustering nodes in bipartite networks.
Fuguo ZhangShumei QiQihua LiuMingsong MaoAn ZengPublished in: Expert Syst. Appl. (2020)
Keyphrases
- data sparsity
- recommender systems
- collaborative filtering
- cold start problem
- matrix factorization
- cold start
- bipartite networks
- recommendation quality
- transfer learning
- data points
- unsupervised learning
- collaborative filtering algorithms
- information overload
- hybrid recommendation
- user ratings
- heterogeneous networks
- graph model
- bipartite graph
- link prediction
- user profiles
- shortest path
- community detection algorithms
- user preferences