Feedback Loop and Bias Amplification in Recommender Systems.
Masoud MansouryHiman AbdollahpouriMykola PechenizkiyBamshad MobasherRobin BurkePublished in: CIKM (2020)
Keyphrases
- feedback loop
- recommender systems
- collaborative filtering
- steady state
- matrix factorization
- trust aware
- recommendation algorithms
- user profiles
- user preferences
- information filtering
- finite element model
- personalized recommendation
- feedback loops
- user profiling
- user feedback
- user ratings
- user modeling
- information overload
- data sparsity
- cold start
- fourier series
- item based collaborative filtering
- collaborative filtering recommender systems
- search algorithm
- user interests
- collaborative filtering algorithms
- low variance
- recommendation quality
- user behavior