An economic model of user rating in an online recommender system

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages307-316
Number of pages10
StatePublished - Dec 1 2005
Event10th International Conference on User Modeling 2005, UM 2005 - Edinburgh, Scotland, United Kingdom
Duration: Jul 24 2005Jul 29 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3538 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on User Modeling 2005, UM 2005
Country/TerritoryUnited Kingdom
CityEdinburgh, Scotland
Period7/24/057/29/05

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