Improving Collaborative Filtering's Rating Prediction Accuracy by Considering Users' Rating Variability.
Dionisis MargarisCostas VassilakisPublished in: DASC/PiCom/DataCom/CyberSciTech (2018)
Keyphrases
- user ratings
- prediction accuracy
- collaborative filtering
- rating prediction
- recommender systems
- collaborative filtering algorithms
- data sparsity
- predictive accuracy
- improve the prediction accuracy
- ensemble methods
- cold start
- predictive power
- recommendation systems
- user preferences
- recommendation quality
- improved accuracy
- user profiles
- web page prediction
- deal with information overload
- demographic information
- matrix factorization
- content based filtering
- bayesian networks
- collaborative filtering recommender systems