Bias and Unfairness of Collaborative Filtering Based Recommender Systems in MovieLens Dataset.
Álvaro GonzálezFernando OrtegaDiego Pérez-LópezSantiago AlonsoPublished in: IEEE Access (2022)
Keyphrases
- collaborative filtering
- recommender systems
- netflix prize
- matrix factorization
- user preferences
- collaborative filtering algorithms
- information filtering
- data sparsity
- recommendation quality
- latent factor models
- user profiles
- recommendation systems
- movie recommendation
- personalized recommendation
- cold start
- pearson correlation coefficient
- deal with information overload
- probabilistic matrix factorization
- data mining
- cold start problem
- information overload
- transfer learning
- user ratings
- collaborative recommendation
- implicit feedback
- rating prediction
- item based collaborative filtering
- collaborative filtering recommender systems
- user modeling
- synthetic datasets
- online dating
- user interests
- user feedback
- user model