Improving Collaborative Filtering's Rating Prediction Quality by Considering Shifts in Rating Practices.
Dionisis MargarisCostas VassilakisPublished in: CBI (1) (2017)
Keyphrases
- collaborative filtering
- recommender systems
- user ratings
- user preferences
- matrix factorization
- collaborative filtering recommender systems
- recommendation quality
- data sparsity
- personalized recommendation
- user profiles
- netflix prize
- rating prediction
- collaborative filtering algorithms
- recommendation systems
- information filtering
- probabilistic matrix factorization
- case study
- transfer learning
- deal with information overload
- user interests
- demographic information
- neural network
- genetic algorithm
- implicit feedback
- user item rating
- database
- making recommendations
- cold start
- prediction accuracy
- website
- search engine
- artificial intelligence
- learning algorithm
- data sets
- real time