The Stereotyping Problem in Collaboratively Filtered Recommender Systems.
Wenshuo GuoKarl KrauthMichael I. JordanNikhil GargPublished in: CoRR (2021)
Keyphrases
- recommender systems
- collaborative filtering
- information filtering
- matrix factorization
- cold start problem
- information overload
- trust aware
- user profiles
- user modeling
- user preferences
- low pass
- machine learning
- personalized recommendation
- recommendation algorithms
- data sets
- user ratings
- user model
- movie recommendation
- user feedback
- concept maps
- data sparsity
- cold start
- content based filtering
- recommendation quality
- item based collaborative filtering
- collaborative recommender systems