Interfaces and Human Decision Making for Recommender Systems-Reference-Cited by-同舟云学术

Interfaces and Human Decision Making for Recommender Systems

Published:2020-09-22 Issue: Volume: Page:
ISSN:
Container-title:Fourteenth ACM Conference on Recommender Systems
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Author:

Brusilovsky Peter¹,de Gemmis Marco²,Felfernig Alexander³,Lops Pasquale⁴,O'Donovan John⁵,Semeraro Giovanni²,Willemsen Martijn C.⁶

Affiliation:

1. School of Computing and Information University of Pittsburgh, USA

2. Dept. of Computer Science University of Bari Aldo Moro, Italy

3. Graz University of Technology Software Technology Institute, Austria

4. Department of Computer Science University of Bari Aldo Moro, Italy

5. Department of Computer Science University of California Santa Barbara, United States

6. Human-Technology Interaction Group Eindhoven University of Technology, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383313.3411539

Reference54 articles.

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

2. Gediminas Adomavicius Jesse C Bockstedt Shawn P Curley and Jingjing Zhang. 2016. Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.. In IntRS@ RecSys. 14–21. Gediminas Adomavicius Jesse C Bockstedt Shawn P Curley and Jingjing Zhang. 2016. Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.. In IntRS@ RecSys. 14–21.

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