Trees for explaining recommendations made through collaborative filtering.
Antonio HernandoJesús BobadillaFernando OrtegaAbraham GutiérrezPublished in: Inf. Sci. (2013)
Keyphrases
- collaborative filtering
- recommender systems
- making recommendations
- recommendation quality
- recommendation systems
- user preferences
- personalized recommendation
- collaborative filtering algorithms
- online dating
- matrix factorization
- cold start
- recommendation algorithms
- cold start problem
- collaborative filtering recommendation
- user ratings
- latent factor models
- demographic information
- content based filtering
- hybrid recommendation
- decision trees
- information filtering
- product recommendation
- data sparsity
- item recommendation
- user profiles
- user interests
- social tagging systems
- collaborative recommendation
- pearson correlation coefficient
- tree construction
- implicit feedback
- information overload
- movie recommendation
- active user
- binary trees
- collaborative filtering recommender systems
- neural network
- deal with information overload
- sentiment analysis
- transfer learning
- tree structure
- prediction accuracy
- data structure
- learning algorithm
- machine learning