Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Oleg LesotaAlessandro B. MelchiorreNavid RekabsazStefan BrandlDominik KowaldElisabeth LexMarkus SchedlPublished in: RecSys (2021)
Keyphrases
- recommender systems
- user preferences
- cold start problem
- collaborative filtering
- personalized recommendation
- music recommendation
- recommendation algorithms
- item based collaborative filtering
- cold start
- personal preferences
- user ratings
- matrix factorization
- item recommendation
- latent factor models
- hybrid recommendation
- active user
- user profiles
- rating prediction
- making recommendations
- music retrieval
- audio signals
- user similarity
- audio features
- user modeling
- data sparsity
- computer music
- information overload
- user behavior