An application of fuzzy geographically clustering for solving the Cold-Start problem in recommender systems.
Le Hoang SonKhuat Manh CuongNguyen Thi Hong MinhNguyen Van CanhPublished in: SoCPaR (2013)
Keyphrases
- cold start problem
- recommender systems
- collaborative filtering
- cold start
- item based collaborative filtering
- matrix factorization
- data sparsity
- clustering algorithm
- user preferences
- personalized recommendation
- unsupervised learning
- user profiles
- information overload
- recommendation algorithms
- implicit feedback
- web search
- knn
- data points