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IEEE/ICACT20200192 Slide.04        [Big Slide]       [YouTube]	Oral Presentation
	<above> Limitation of each single RS: Recommendation System The performance of every single recommendation algorithm, however, is limited and each has its own strengths and weaknesses. Collaborative filtering techniques perform well when there is sufficient rating information, but their effectiveness is limited when the problems of rating sparsity or cold-start problem for new items occur CBF, on the other hand, is able to handle the case of new items, but items must be encoded with meaningful features.

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