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A new similarity-based multi-criteria recommendation algorithm based on autoencoders
Turkish Journal of Electrical Engineering and Computer Sciences
Recommender systems provide their users an efficient way to handle with information overload problem by 4 offering personalized suggestions. Traditional recommender systems are based on two-dimensional user-item preference 5 matrix which constructed depending on the users' overall evaluations over items. However, they have begun to present 6 their preferences over under various circumstances. Thus, traditional recommendation techniques fail to process multi-7 criteria ratings during thedoi:10.3906/elk-2107-145 fatcat:n4kycyumu5gi7moperbxrxf5tm