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Research on active response proactive elderly care service model based on user interest atlas discovery and personalized recommendation

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DOI: 10.23977/EEIM2020003

Author(s)

Mengfang Zha, Yibing Song, Qiang Tai, Ying Yao

Corresponding Author

Mengfang Zha

ABSTRACT

The government's "lower-level groups pay more attention to the public's needs and pay less attention to", the free and scattered social pension resources, and the relaxation of the atmosphere of the proactive elderly care service market. Service requirements. As one of the "Internet + old-age service" methods, old-age service. 2. To a certain extent, it can play the role of the optimization and integration of the Internet in the resource allocation of proactive elderly care services. On the basis of combing the theoretical discussion and practice of elder care service supply and the application of the Internet in the elder care service in detail, the elder care service is provided. 20 The key elements such as content, functions, framework and guarantee of the operation platform were discussed, with a view to driving the provision of offline services through the operation and consumption of online old-age care services, and shaping orderly competition while meeting the needs of old-age care The environment to guide the rudiment of the marketization of old-age services, and ultimately realize the true socialization and marketization of old-age services. Drawing on the theories of Web 2.0, social networks, complex networks, ontology, and cloud computing, a personalized recommendation system structure based on user interest graphs is designed, the principle of recommendation based on user interest graphs is clarified, and user interest graph generation is proposed The integration method and the dynamic evolution and feedback mechanism of user interest graphs have improved the recommendation quality and accuracy of the recommendation system.

KEYWORDS

Internet+, proactive elderly care service, interest graph, personalized recommendation, cloud computing

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