Developing a personalized recommendation system in a smart product service system based on unsupervised learning model

摘要

Contemporary consumers have begun shifting their focus from product functionality toward the value that can be derived from products. In response to this trend, companies have begun using product service systems (PSS), business models that provide customers not only with tangible products but also with intangible services. Moreover, with the increasing use of smart devices, services providers can offer customized services to customers based on user-generated data with smart product service systems (Smart PSS).