A new collaborative filtering approach for increasing the aggregate diversity of recommender systems.
Katja NiemannMartin WolpersPublished in: KDD (2013)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- cold start problem
- data sparsity
- user preferences
- cold start
- recommendation quality
- information filtering
- personalized recommendation
- probabilistic matrix factorization
- user profiling
- product recommendation
- collaborative filtering algorithms
- information overload
- movie recommendation
- recommendation systems
- data sets
- neighbor selection
- rating prediction
- trust aware
- implicit feedback
- recommendation algorithms
- user modeling
- user interests
- user feedback
- neural network
- user ratings
- transfer learning
- learning algorithm
- netflix prize
- item based collaborative filtering