Improving Collaborative Filtering's Rating Prediction Accuracy by Introducing the Common Item Rating Past Criterion.
Dionisis MargarisDionysios VasilopoulosCostas VassilakisDimitris SpiliotopoulosPublished in: IISA (2019)
Keyphrases
- user ratings
- prediction accuracy
- collaborative filtering
- rating prediction
- improve the prediction accuracy
- ensemble methods
- collaborative filtering algorithms
- predictive power
- data sparsity
- predictive accuracy
- recommender systems
- user preferences
- estimation accuracy
- cold start
- collaborative filtering recommendation algorithm
- search engine
- item based collaborative filtering
- recommendation quality
- higher order
- pearson correlation coefficient