Addressing Data Sparsity in Collaborative Filtering Based Recommender Systems Using Clustering and Artificial Neural Network.
Ashrf AlthbitiRayan AlshamraniTami AlghamdiStephen LeeXiaogang MaPublished in: CCWC (2021)
Keyphrases
- data sparsity
- collaborative filtering
- recommender systems
- artificial neural networks
- matrix factorization
- cold start problem
- recommendation quality
- collaborative filtering algorithms
- cold start
- clustering algorithm
- transfer learning
- user preferences
- k means
- information overload
- cluster analysis
- unsupervised learning
- hybrid recommendation
- item based collaborative filtering
- topic modeling
- neural network
- collaborative filtering recommender systems
- web search
- recommendation systems
- information extraction
- pairwise
- netflix prize
- user feedback
- probabilistic matrix factorization
- user profiles