A Content Boosted Collaborative Filtering Approach for Movie Recommendation Based on Local & Global Similarity and Missing Data Prediction.
Gözde ÖzbalHilal KaramanFerda Nur AlpaslanPublished in: ISCIS (2010)
Keyphrases
- missing data
- collaborative filtering
- matrix factorization
- missing values
- pearson correlation coefficient
- low rank
- data imputation
- user similarity
- prediction accuracy
- user ratings
- incomplete data
- structure from motion
- motion segmentation
- recommender systems
- imprecise data
- multiple imputation
- automatic relevance determination
- prediction error
- imputation methods
- linear combination
- data sets
- low rank matrix
- databases