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IEEE/ICACT20200192 Slide.22        [Big Slide]       [YouTube]	Oral Presentation
	Proved the powerful linearly combination of collaborative filtering and content-based filtering RS. The experimental results on the public datasets MovieLens show lower Root Mean Squared Error (RSME), meaning a better accuracy. 4.56% lower RMSE in case of the conduct experiment on items that receive no previous ratings indicates that by using additional information of item features, our method addresses the problem of cold start. In our future work, since another weak point recognised in CF systems is ¡°data sparsity¡± - Sparser the dataset is, the worse the performance of CF will be, we will consider the fusion of such filtering methods if it can alleviate this kind of problem

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