Exploring Strategies to Mitigate Cold Start in Recommender Systems: A Systematic Literature Mapping.
Nathália Locatelli CezarIsabela GaspariniDaniel LichtnowGabriel Machado LunardiJosé Palazzo Moreira de OliveiraPublished in: ICEIS (1) (2024)
Keyphrases
- recommender systems
- cold start
- cold start problem
- collaborative filtering
- data sparsity
- user preferences
- matrix factorization
- implicit feedback
- information overload
- music recommendation
- recommendation quality
- item based collaborative filtering
- recommendation systems
- personalized recommendation
- tag recommendation
- user profiles
- user ratings
- user interests
- user feedback
- user model
- data sparseness
- reinforcement learning