Quality of Recommendations and Cold-Start Problem in Recommender Systems Based on Multi-clusters.
Urszula KuzelewskaPublished in: ICCS (2) (2021)
Keyphrases
- cold start problem
- recommender systems
- cold start
- collaborative filtering
- collaborative recommendation
- recommendation quality
- item based collaborative filtering
- matrix factorization
- data sparsity
- personalized recommendation
- recommendation algorithms
- user profiling
- information overload
- data sparseness
- tag recommendation
- machine learning algorithms
- online dating
- learning algorithm