An Economic Model of User Rating in an Online Recommender System

F. Maxwell Harper; Xin Li; Yan Chen; Joseph A. Konstan

doi:10.1007/11527886_40

International Conference on User Modeling

UM 2005: User Modeling 2005 pp 307-316

An Economic Model of User Rating in an Online Recommender System

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F. Maxwell Harper
Xin Li
Yan Chen
Joseph A. Konstan

Conference paper

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3538)

Abstract

Economic modeling provides a formal mechanism to understand user incentives and behavior in online systems. In this paper we describe the process of building a parameterized economic model of user-contributed ratings in an online movie recommender system. We constructed a theoretical model to formalize our initial understanding of the system, and collected survey and behavioral data to calibrate an empirical model. This model explains 34% of the variation in user rating behavior. We found that while economic modeling in this domain requires an initial understanding of user behavior and access to an uncommonly broad set of user survey and behavioral data, it returns significant formal understanding of the activity being modeled.

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Authors and Affiliations

F. Maxwell Harper
- 1
Xin Li
- 2
Yan Chen
- 2
Joseph A. Konstan
- 1

1.CommunityLabUniversity of MinnesotaMinneapolisUSA
2.CommunityLabUniversity of MichiganAnn ArborUSA

About this paper

Cite this paper as:: Harper F.M., Li X., Chen Y., Konstan J.A. (2005) An Economic Model of User Rating in an Online Recommender System. In: Ardissono L., Brna P., Mitrovic A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science, vol 3538. Springer, Berlin, Heidelberg

DOI https://doi.org/10.1007/11527886_40
Publisher Name Springer, Berlin, Heidelberg
Print ISBN 978-3-540-27885-6
Online ISBN 978-3-540-31878-1
eBook Packages Computer Science

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An Economic Model of User Rating in an Online Recommender System

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