Abstract: Aiming at the problem of natural noise in the recommended system, we proposed a collaborative filtering correction of natural noise method of sparse data based on concept lattice. Firstly, users and items were divided into three classes: strong, average and weak to detect natural noise. Secondly, the collaborative filtering of sparse data based on concept lattice was used to correct these natural noises. Finally, the unrated items were predicted from the obtained dataset without natural noise. The experimental results on the dataset containing natural noise show that the proposed method has high recommendation accuracy and good performance in the case of sparse data.

Key words: concept lattice, sparse data, natural noise, collaborative filtering, recommendation system