Personalized Case-Based Explanation of Matrix Factorization Recommendations.
Jose L. Jorro-AragonesesMarta Caro-MartínezJuan Antonio Recio-GarcíaBelén Díaz-AgudoGuillermo Jiménez-DíazPublished in: ICCBR (2019)
Keyphrases
- matrix factorization
- recommender systems
- personalized recommendation
- collaborative filtering
- user profiles
- item recommendation
- cold start problem
- low rank
- latent factor models
- factor analysis
- data sparsity
- nonnegative matrix factorization
- cold start
- factorization methods
- user preferences
- recommendation systems
- stochastic gradient descent
- rating prediction
- negative matrix factorization
- variational bayesian
- transfer learning
- tensor factorization
- implicit feedback
- data matrix
- user feedback
- factorization method
- missing data
- personalized ranking
- user ratings
- recommendation algorithms
- user interests
- probabilistic model