Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity.
Jiangfei ChengLi ZhangPublished in: PAKDD (2) (2019)
Keyphrases
- data sparsity
- recommender systems
- collaborative filtering
- cold start problem
- matrix factorization
- cold start
- recommendation quality
- clustering method
- clustering algorithm
- k means
- similarity measure
- unsupervised learning
- business intelligence
- cosine similarity
- information overload
- recommendation systems
- user preferences
- data sets
- document clustering
- recommendation algorithms
- implicit feedback
- user model
- similarity function
- user profiles
- pairwise
- feature selection
- information retrieval
- data mining