Improving Collaborative Filtering's Rating Prediction Coverage in Sparse Datasets by Exploiting User Dissimilarity.
Dionisis MargarisCostas VassilakisPublished in: DASC/PiCom/DataCom/CyberSciTech (2018)
Keyphrases
- collaborative filtering
- rating prediction
- recommender systems
- user ratings
- matrix factorization
- user preferences
- recommendation algorithms
- user profiles
- recommendation systems
- prediction accuracy
- user interaction
- object recognition
- transfer learning
- sentiment analysis
- machine learning
- user feedback
- information overload
- high dimensional
- pairwise