Chapter 13

Personalized Configuration

Juha Tiihonena, Alexander Felfernigb and Monika Mandlb,    aAalto University, Aalto, Finland,    bGraz University of Technology, Graz, Austria

Abstract

The increasing size and complexity of products (or product assortments) triggers a demand for intelligent techniques that proactively support users of configurator applications in finding a solution (configuration) that fits their wishes and needs. Recommendation technologies are predestined to be applied in the configuration context, because they can find relevant items from large and complex item sets. In this chapter, we show how different types of basic recommendation technologies can be applied to recommend configurations or individual selections such ...

Get Knowledge-Based Configuration now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.