Feedback Loop and Bias Amplification in Recommender Systems.
Masoud MansouryHiman AbdollahpouriMykola PechenizkiyBamshad MobasherRobin BurkePublished in: CoRR (2020)
Keyphrases
- feedback loop
- recommender systems
- collaborative filtering
- matrix factorization
- feedback loops
- user preferences
- steady state
- recommendation quality
- fourier series
- finite element model
- user modeling
- trust aware
- implicit feedback
- user profiles
- personalized recommendation
- user feedback
- information overload
- user interests
- user model
- cold start
- cold start problem
- personal preferences
- single image
- control system
- genetic algorithm