Một thuật toán lọc công tác cho trường hợp ít dữ liệu

The method formulates the collaborative filtering problem as classification problems and performs classification for all users simultaneously by using a modified boosting algorithm. This allows sharing common features among different classification tasks and thus reduces the negative effect of data sparseness. Experimental results show the effectiveness of the proposed method in comparison with other methods, especially when data are sparse.