Personalized manufacturing service recommendation using semantics-based collaborative filtering

Abstract

With the growing emergence of distributed manufacturing services over the Internet, many efforts have been made to semantically describe the manufacturing services, facilitating accurate retrieval of the required services derived from semantic matchmaking of service capabilities. However, semantic annotation of vast manufacturing services remains an open issue. Most of the efforts have been proposed to semantically annotate the manufacturing services in an inefficient manual manner. This article presents a novel collaborative filtering method for automating the semantic annotation of manufacturing service capabilities and making the personalized manufacturing service recommendation based on the usage data of previous retrievals made for similar annotations. A prototype system is built and validated with an illustrative example from manufacturing industry to demonstrate the feasibility and efficiency of the proposed approach for automatic service annotation and personalized service recommendation.

The Application of Personalized Service in the Equipment Sharing Platform

“…Personalized service refers to the enterprise offers different information or services to different customers [6]. Its process is, firstly, the users input their own information for system's requirements, including the users' personal information, customers' service requirements, and so on.…”

Bibliometric Method for Manufacturing Servitization: A Review and Future Research Directions

“…It is worth noting that the first two authors and the sixth author have close collaboration relationships because they published 12 articles [58,[63][64][65][66][67][68][69][70][71][72][73] together, and all three come from Beihang University, China. Zhang, Wenyu and Zhang, Shuai, both from Zhejiang University of Finance and Economics in China, are coauthors of 15 articles [74][75][76][77][78][79][80][81][82][83][84][85][86][87][88] on the servitization of manufacturing. Notably, Parida, Vinit not only holds a position at the Lulea University of Technology, Sweden, but he has also worked as a visiting professor at the University of Vaasa, Finland.…”

Preference Oriented Mining Techniques for Location based Point Search

“…In [19] proposed a technique which was a personalized manufacturing service recommendation system using semantics-based collaborative filtering. This was a novel collaborative filtering method for automating the semantics of manufacturing services.…”