首页|Research Findings from School of Art Update Understanding of Intelligent Systems (Classical music recommendation algorithm on art market audience expansion unde r deep learning)
Research Findings from School of Art Update Understanding of Intelligent Systems (Classical music recommendation algorithm on art market audience expansion unde r deep learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on intelligent s ystems. According to news reporting originating from Chongqing, People's Republi c of China, by NewsRx correspondents, research stated, "The purpose of the study is to help users know about their favorite music and expand art market audience s." The news correspondents obtained a quote from the research from School of Art: " First, the personalized recommendation data of classical music are obtained base d on the deep learning recommendation algorithm technology, artificial intellige nce, and music playback software of users. Second, a systematic experiment is co nducted on the improved recommendation algorithm, and a classical music dataset is established and used for model training and user testing. Then, the network m odel of the classical music recommendation algorithm is constructed through the typical convolutional neural network model, and the optimal parameters suitable for the model are found."
School of ArtChongqingPeople's Repub lic of ChinaAsiaAlgorithmsIntelligent SystemsMachine Learning
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