Affiliations: School of Business, Suzhou University of Science and Technology, Jiangsu Suzhou, China
Correspondence:
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Corresponding author. Xueying Tian, School of Business, Suzhou University of Science and Technology, Jiangsu Suzhou, 215011, China. E-mail: [email protected]
Abstract: The proper integration of the fuzzy clustering and neural network will help to enhance the accuracy of recommendation system. In this paper, the author designed an intelligent recommendation system and analyzed its application in smart old-age care. In the content-based recommendation system, we describe frequently the product content with some key words, and this could also be used in the home-based care services. by using chaotic neural network model, we analyze the user behavior and the recommended quality. The results show that the large data can provide accurate service supply for the elderly with different pension modes at different levels of pension services. At the same time, through the online platform, the intelligent computing and decision-making function of the aged service can be realized.
Keywords: Intelligent recommendation, user behaviour mining, smart old-age care, o2o model, big data
