Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects-Reference-Cited by-同舟云学术

Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects

Published:2013-12 Issue:4 Volume:24 Page:956-975
ISSN:1047-7047
Container-title:Information Systems Research
language:en
Short-container-title:Information Systems Research

Author:

Adomavicius Gediminas,Bockstedt Jesse C.,Curley Shawn P.,Zhang Jingjing

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems,Management Information Systems

Link

https://pubsonline.informs.org/doi/pdf/10.1287/isre.2013.0497

Reference40 articles.

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

2. "Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences

3. Breese JS, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. Cooper G, Moral S, eds.Fourteenth Conf. Uncertainty in Artificial Intelligence, Madison, WI(Morgan Kaufmann, San Francisco), 43–52.

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