Cold-Start Recommendation Using Bi-Clustering and Fusion for Large-Scale Social Recommender Systems.
Daqiang ZhangChing-Hsien HsuMin ChenQuan ChenNaixue XiongJaime Lloret MauriPublished in: IEEE Trans. Emerg. Top. Comput. (2014)
Keyphrases
- recommender systems
- clustering method
- collaborative filtering
- trust aware
- business intelligence
- social interaction
- clustering algorithm
- social media
- social networks
- small scale
- matrix factorization
- k means
- real world
- information fusion
- data points
- personal preferences
- user modeling
- information theoretic
- self organizing maps
- cluster analysis
- hierarchical clustering
- fuzzy clustering
- unsupervised learning
- outlier detection
- rating prediction
- user preferences
- recommendation algorithms
- implicit feedback
- data fusion