Recommendation Technologies for Configurable Products

  • Andreas Falkner Siemens AG Austria
  • Alexander Felfernig Graz University of Technology
  • Albert Haag SAP AG

Abstract

State of the art recommender systems support users in the selection of items from a predefined assortment (for example, movies, books, and songs). In contrast to an explicit definition of each individual item, configurable products such as computers, financial service portfolios, and cars are repre¬sented in the form of a configuration knowledge base that describes the properties of allowed instances. Although the knowledge representation used is different compared to non-confi¬gurable products, the decision support requirements remain the same: users have to be supported in finding a solution that fits their wishes and needs. In this article we show how recommendation technologies can be applied for supporting the configuration of products. In addition to existing approaches we discuss relevant issues for future research.

Author Biographies

Andreas Falkner, Siemens AG Austria
Program Manager, Corporate Research and Technology Department
Alexander Felfernig, Graz University of Technology
Institute for Software Technology
Albert Haag, SAP AG
Development Architect
How to Cite
Falkner, A., Felfernig, A., & Haag, A. (1). Recommendation Technologies for Configurable Products. AI Magazine, 32(3), 99-108. https://doi.org/10.1609/aimag.v32i3.2369
Section
Articles