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

Chiu M., Huang J., Gupta S., AKMAN G.

COMPUTERS IN INDUSTRY, vol.128, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 128
  • Publication Date: 2021
  • Doi Number: 10.1016/j.compind.2021.103421
  • Journal Name: COMPUTERS IN INDUSTRY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Keywords: Smart product service system, Natural language processing, Machine learning, Recommendation system, BIG DATA, PSS, FRAMEWORK, DESIGN, FIRMS, METHODOLOGY
  • Kocaeli University Affiliated: Yes

Abstract

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).