A Content-Boosted Collaborative Filtering Approach for Movie Recommendation Based on Local and Global Similarity and Missing Data Prediction.
Gözde ÖzbalHilal KaramanFerda Nur AlpaslanPublished in: Comput. J. (2011)
Keyphrases
- missing data
- collaborative filtering
- matrix factorization
- prediction accuracy
- pearson correlation coefficient
- data imputation
- missing values
- user similarity
- low rank
- recommender systems
- motion segmentation
- incomplete data
- user ratings
- structure from motion
- automatic relevance determination
- missing information
- imputation methods
- multiple imputation
- prediction error
- nonnegative matrix factorization
- database