Universität zu Köln

Peters, Markus, Saar-Tsechansky, Maytal, Ketter, Wolfgang ORCID: 0000-0001-9008-142X, Williamson, Sinead A., Groot, Perry and Heskes, Tom ORCID: 0000-0002-3398-5235 (2018). A scalable preference model for autonomous decision-making. Mach. Learn., 107 (6). S. 1039 - 1069. DORDRECHT: SPRINGER. ISSN 1573-0565

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Abstract

Emerging domains such as smart electric grids require decisions to be made autonomously, based on the observed behaviors of large numbers of connected consumers. Existing approaches either lack the flexibility to capture nuanced, individualized preference profiles, or scale poorly with the size of the dataset. We propose a preference model that combines flexible Bayesian nonparametric priors-providing state-of-the-art predictive power-with well-justified structural assumptions that allow a scalable implementation. The Gaussian process scalable preference model via Kronecker factorization (GaSPK) model provides accurate choice predictions and principled uncertainty estimates as input to decision-making tasks. In consumer choice settings where alternatives are described by few key attributes, inference in our model is highly efficient and scalable to tens of thousands of choices.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Peters, Markus UNSPECIFIED UNSPECIFIED UNSPECIFIED Saar-Tsechansky, Maytal UNSPECIFIED UNSPECIFIED UNSPECIFIED Ketter, Wolfgang UNSPECIFIED orcid.org/0000-0001-9008-142X UNSPECIFIED Williamson, Sinead A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Groot, Perry UNSPECIFIED UNSPECIFIED UNSPECIFIED Heskes, Tom UNSPECIFIED orcid.org/0000-0002-3398-5235 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-185657
DOI:	10.1007/s10994-018-5705-5
Journal or Publication Title:	Mach. Learn.
Volume:	107
Number:	6
Page Range:	S. 1039 - 1069
Date:	2018
Publisher:	SPRINGER
Place of Publication:	DORDRECHT
ISSN:	1573-0565
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Center of Excellence C-SEB Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects:	Economics
Uncontrolled Keywords:	Keywords Language Computer Science, Artificial Intelligence Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/18565