Fairness among New Items in Cold Start Recommender Systems.
Ziwei ZhuJingu KimTrung NguyenAish FentonJames CaverleePublished in: SIGIR (2021)
Keyphrases
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- user preferences
- information overload
- matrix factorization
- data sparsity
- implicit feedback
- personalized recommendation
- recommendation algorithms
- item based collaborative filtering
- music recommendation
- recommendation quality
- user interests
- user profiles
- tag recommendation
- user generated content
- recommendation systems
- collaborative filtering algorithms
- user model
- probabilistic model