An Economic Model of User Rating in an Online Recommender System
Lecture notes in computer sciencePublished 1 January 2005
F. Maxwell Harper, Xin Li, Yan Chen, Joseph A. Konstan
Citations79
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
It is 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.
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.
Keywords
Decision SciencesBusiness, Management and Accounting
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