Quotation Dorner, Verena, Scholz, M. 2013. Predicting And Economically Exploiting UtilityThresholds With Utility-Based RecommendationSystems. In Proceedings of the 21st European Conference on Information Systems (ECIS), Hrsg. Associaton for Information Systems, 1-13. Utrecht, The Netherlands: None.


RIS


BibTeX

Abstract

Consumers spend a lot of time and effort on online product search in order to find the best match to their preferences. Recommendation systems promise to decrease these search costs. Much recent work has focused on refining methods for finding the best alternatives for a consumer. The question of how many of these alternatives the consumer actually wants to see has remained largely unanswered. This paper proposes utility thresholds as a novel approach to identifying the optimal recommendation set size. Beyond improving recommendation systems, utility thresholds improve business decision support by enabling willingness-to-pay estimation and individually optimal product configurations. Our empirical evaluation shows that utility threshold prediction is better for factors related to the recommendation process than personal factors. Search costs are reduced and willingness-to-pay estimates improved.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation External
Type of publication Contribution to conference proceedings
Language English
Title Predicting And Economically Exploiting UtilityThresholds With Utility-Based RecommendationSystems
Title of whole publication Proceedings of the 21st European Conference on Information Systems (ECIS)
Editor Associaton for Information Systems
Page from 1
Page to 13
Location Utrecht, The Netherlands
Year 2013
ISBN 978-90-393-6112-2
Open Access N

Associations

People
Dorner, Verena (Details)
External
Scholz, M (University of Passau, Germany)
Organization
Institute for Digital Ecosystems IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
5367 Management information systems (Details)
Google Scholar: Search