Providing Intelligent Assistance for Product Configuration in Manufacturing. A Learning-to-Rank Approach

Titelaufnahme

Titel
Providing Intelligent Assistance for Product Configuration in Manufacturing. A Learning-to-Rank Approach
Verfasser
Poggemeier, Carsten ; Hartung, Matthias ; Cimiano, Philipp
Herausgeber
Bi, Yaxin ; Kapoor, Supriya ; Bhatia, Rahul
Enthalten in
Proceedings of the SAI Intelligent Systems Conference (IntelliSys) 2016. Vol. 1, S. 866-879
Erschienen
2018
Sprache
Englisch
Dokumenttyp
Aufsatz in einem Sammelwerk
Schlagwörter
Product Configuration / Ranking / Information Retrieval / Machine Learning
URN
urn:nbn:de:0070-pub-29017949
DOI
10.1007/978-3-319-56994-9_59

Zugriffsbeschränkung

Links

Dateien

Klassifikation

Abstract

Configuring complex products can be a challenge due to the huge number of configuration possibilities. In this paper, our goal is to foster the development of intelligent configuration assistants that can support customers in configuring
complex products. We formalize the task as a machine learning problem and in particular as a learning-to-rank problem. Given pairwise preferences elicited from experts, we show that we can train a model using support vector machines that ranks possible products according to their relevance to a given set of requirements specified by a user.

Statistik