User Trust in Recommendation Systems: A comparison of Content-Based, Collaborative and Demographic Filtering-Reference-Cited by-同舟云学术

User Trust in Recommendation Systems: A comparison of Content-Based, Collaborative and Demographic Filtering

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Liao Mengqi¹,Sundar S. Shyam¹,B. Walther Joseph²

Affiliation:

1. Media Effects Research Laboratory, The Pennsylvania State University, United States

2. Center for Information Technology & Society, University of California, Santa Barbara, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3501936

Reference57 articles.

1. Social anxiety, self-presentation, and the self-serving bias in causal attribution.

2. Alejandro Barredo Arrieta , Natalia Díaz-Rodríguez , Javier Del Ser , Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garcia, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, and Francisco Herrera. 2020 . Explainable Artificial Intelligence (XAI): Concepts , taxonomies, opportunities and challenges toward responsible AI. Information Fusion 58, (June 2020), 82–115. https://doi.org/10.1016/j.inffus.2019.12.012 Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garcia, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, and Francisco Herrera. 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion 58, (June 2020), 82–115. https://doi.org/10.1016/j.inffus.2019.12.012

3. Drivers are blamed more than their automated cars when both make mistakes

4. Transparent, Scrutable and Explainable User Models for Personalized Recommendation

5. When Choosing Is Not Deciding: The Effect of Perceived Responsibility on Satisfaction

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