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Activity Number: 520 - Contributed Poster Presentations: Business and Economic Statistics Section
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 10:30 AM to 12:20 PM
Sponsor: Business and Economic Statistics Section
Abstract #322612
Title: A Comparison of IRT Models for Internet Ratings
Author(s): Chiu-Hsing Weng*
Companies: National Chengchi Univ
Keywords: item response theory models ; Internet ratings

Item response theory (IRT) models have been widely used in modeling educational test data. Internet consumer product ratings growing rapidly and they play an increasingly important role in consumers' purchase decisions. Such ratings data has similar structure as the educational scores data, but its matrix can be much larger and sparser. In recent years, IRT models have been applied to this type of data. In this presentation, I will first give a brief review of recent applications of IRT models to Internet consumer product ratings data, and then provide a comparison of several IRT models and estimation methods.

Authors who are presenting talks have a * after their name.

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