Improving cold-start recommendations using item-based stereotypes.
Nourah A. ALRossaisDaniel KudenkoTommy YuanPublished in: User Model. User Adapt. Interact. (2021)
Keyphrases
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- tag recommendation
- user preferences
- implicit feedback
- personalized recommendation
- user ratings
- matrix factorization
- item based collaborative filtering
- recommendation algorithms
- recommendation quality
- collaborative filtering algorithms
- information overload
- user model
- user profiles
- recommendation systems
- user interests
- learning to rank
- web server
- eye tracking
- data sparseness
- language model
- information retrieval