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Dynamic service matchmaking model and algorithm

  • Haixia Pan*
  • , Jing Wang
  • , Michitaka Kosaka
  • *Corresponding author for this work
  • Beihang University
  • Japan Advanced Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In the service industry, individual customer service requirements are different from the market demands. The requirements determined by the market demand are called static requirements, and those determined by individual customers in specific service processes are dynamic requirements. The service system is constructed according to the static requirements, to meet the market demand, and then, in each service process, the service system must combine its capabilities with the dynamic requirements of the specified customer to provide customized services. Using the dynamic requirements as input, the service system realizes its value in co-creation with the customers more efficiently. Dynamic service matchmaking is the process of matching the dynamic requirements of a specific customer to the service system's capabilities, giving the most suitable service recommendation or customization. By using the theory of Ontology, the authors present a dynamic requirement description model. In this model, they first decompose services and requirements into sub-items. They then map these items to requirement ontology trees to calculate the similarity between service and requirement items. Finally, the authors calculate the weighted average of those similarities as the result of matchmaking. A dynamic service matchmaking problem is presented as an example for further explanation. The multi-stage dynamic matchmaking model takes this issue for a more complex situation and tries to compose a service bundle for a series of dynamic requirements.

Original languageEnglish
Title of host publicationProgressive Trends in Knowledge and System-Based Science for Service Innovation
PublisherIGI Global
Pages205-219
Number of pages15
ISBN (Electronic)9781466646643
ISBN (Print)1466646632, 9781466646636
DOIs
StatePublished - 31 Oct 2013

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