Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research.
Jesús BobadillaAbraham GutiérrezPublished in: AICCSA (2023)
Keyphrases
- recommender systems
- collaborative filtering
- synthetic datasets
- real life
- real dataset
- matrix factorization
- data sparsity
- personalized recommendation
- cold start problem
- user profiles
- user preferences
- experimental study
- information filtering
- recommendation quality
- synthetic data
- collaborative filtering recommender systems
- recommendation systems
- cold start
- neural network
- probabilistic matrix factorization
- real world
- pattern recognition
- user profiling
- user ratings
- implicit feedback
- original data
- information overload
- user feedback
- product recommendation
- netflix prize
- item based collaborative filtering
- hybrid recommendation
- recommendation algorithms