Ricardo Baeza-Yates
ABSTRACT
Personalization can be seen as a positive bias towards each user. However, it also has negative consequences such as privacy loss as well as the filter bubble or echo chamber effect due to the feedback-loop that creates. In addition, the web system itself can bias the user interaction distorting the data used for personalization. In this presentation we discuss the interaction of these three elements: personalization, bias and privacy.
- R. Baeza-Yates and Y. Maarek. 2012. Usage Data in Web Search: Benefits and Limitations. In Scientific and Statistical Database Management: 24th SSDBM, A. Ailamaki and S. Bowers (eds). LNCS 7338, Springer, Chania, Crete, 495--506.Google Scholar
- Ricardo Baeza-Yates and Diego Saez-Trumper. 2015. Wisdom of the Crowd or Wisdom of a Few? An Analysis of Users' Content Generation. In Proceedings of the 26th ACM Conference on Hypertext & Social Media (HT '15), Cyprus, 69--74.Google ScholarDigital Library
- Ricardo Baeza-Yates. 2018. Bias on the Web. Communications of ACM 61, 6 (June), 54--61.Google ScholarDigital Library
- Ricardo Baeza-Yates. 2018. Re-examining User Experience: Can Personalization and Privacy Coexist. TechTalks, https://bdtechtalks.com/2018/08/10/personalization-vs-privacy-understanding-the-tradeoff/Google Scholar
- Jakob Nielsen. 2006. The 90--9--1 Rule for Participation Inequality in Social Media and Online Communities. Nielsen Group, https://www.nngroup.com/articles/participation-inequality/.Google Scholar
- E. Pariser. 2011. The Filter Bubble: What the Internet Is Hiding from You. Penguin Press.Google ScholarDigital Library
- L. Sweeney. 2001. k-anonymity: a model for protecting privacy. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10(5):557--570.Google ScholarDigital Library
Index Terms
- Personalization, Bias and Privacy
Recommendations
Privacy-enhanced personalization
CHI EA '06: CHI '06 Extended Abstracts on Human Factors in Computing SystemsConsumer surveys show that online users value personalized content [5]. At the same time, providing personalization on websites seems quite profitable for web vendors [2, 6-8]. This win-win situation is however marred by privacy concerns since ...
Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems
Personalization technologies offer powerful tools for enhancing the user experience in a wide variety of systems, but at the same time raise new privacy concerns. For example, systems that personalize advertisements according to the physical location of ...
Personalization versus Privacy: An Empirical Examination of the Online Consumer's Dilemma
Personalization refers to the tailoring of products and purchase experience to the tastes of individual consumers based upon their personal and preference information. Recent advances in information acquisition and processing technologies have allowed ...
Comments