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Measuring Price Discrimination and Steering on E-commerce Web Sites

2014/11/05 by Anikó Hannák, Gary Soeller, David Lazer +2 · 1 voice · 2 citations
Business, Management and Accounting · Decision Sciences · #Consumer Market Behavior and Pricing #Advanced Bandit Algorithms Research #Auction Theory and Applications

paper · doi:10.1145/2663716.2663744

openalex publication_date 2014/11/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

Today, many e-commerce websites personalize their content, including Netflix (movie recommendations), Amazon (product suggestions), and Yelp (business reviews). In many cases, personalization provides advantages for users: for example, when a user searches for an ambiguous query such as ``router,'' Amazon may be able to suggest the woodworking tool instead of the networking device. However, personalization on e-commerce sites may also be used to the user's disadvantage by manipulating the products shown (price steering) or by customizing the prices of products (price discrimination). Unfortunately, today, we lack the tools and techniques necessary to be able to detect such behavior.

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