Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems.
Dominik KowaldEmanuel LacicPublished in: BIAS (2022)
Keyphrases
- recommender systems
- collaborative filtering
- multimedia
- matrix factorization
- user preferences
- cold start problem
- social tagging systems
- information filtering
- recommendation quality
- multimedia content
- recommendation systems
- information overload
- user profiles
- digital libraries
- multimedia databases
- probabilistic matrix factorization
- data sparsity
- recommendation algorithms
- multimedia systems
- collaborative filtering algorithms
- personalized recommendation
- e learning
- user item rating
- multimedia information retrieval
- user interests
- social media
- user modeling
- metadata
- deal with information overload
- netflix prize
- movie recommendation
- online dating
- rating prediction
- content based filtering
- cold start
- multimedia information
- digital video
- cultural heritage
- implicit feedback
- user profiling
- latent factor models
- user interaction
- user ratings
- video data
- transfer learning
- pearson correlation coefficient
- trust aware
- user feedback
- item based collaborative filtering
- hybrid recommendation
- learning environment
- collaborative filtering recommender systems
- user model
- prediction accuracy