Effects of Data Sparsity on Recommender Systems based on Collaborative Filtering.
Joao Felipe Guedes da SilvaNatanael Nunes de Moura JuniorLuiz Pereira CalôbaPublished in: IJCNN (2018)
Keyphrases
- data sparsity
- collaborative filtering
- recommender systems
- matrix factorization
- cold start problem
- recommendation quality
- cold start
- hybrid recommendation
- collaborative filtering algorithms
- information filtering
- user profiles
- personalized recommendation
- user ratings
- user feedback
- recommendation systems
- information overload
- transfer learning
- user preferences
- probabilistic matrix factorization
- content based filtering
- e learning
- collaborative filtering recommender systems
- similarity measure