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Privacy Concerns when Modeling Users in Collaborative Filtering Recommender Systems

Privacy Concerns when Modeling Users in Collaborative Filtering Recommender Systems

Sylvain Castagnos
Copyright: © 2009 |Pages: 14
ISBN13: 9781605660363|ISBN10: 1605660361|ISBN13 Softcover: 9781616925017|EISBN13: 9781605660370
DOI: 10.4018/978-1-60566-036-3.ch014
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MLA

Castagnos, Sylvain. "Privacy Concerns when Modeling Users in Collaborative Filtering Recommender Systems." Social and Human Elements of Information Security: Emerging Trends and Countermeasures, edited by Manish Gupta and Raj Sharman, IGI Global, 2009, pp. 247-260. https://doi.org/10.4018/978-1-60566-036-3.ch014

APA

Castagnos, S. (2009). Privacy Concerns when Modeling Users in Collaborative Filtering Recommender Systems. In M. Gupta & R. Sharman (Eds.), Social and Human Elements of Information Security: Emerging Trends and Countermeasures (pp. 247-260). IGI Global. https://doi.org/10.4018/978-1-60566-036-3.ch014

Chicago

Castagnos, Sylvain. "Privacy Concerns when Modeling Users in Collaborative Filtering Recommender Systems." In Social and Human Elements of Information Security: Emerging Trends and Countermeasures, edited by Manish Gupta and Raj Sharman, 247-260. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-036-3.ch014

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Abstract

This chapter investigates ways to deal with privacy rules when modeling preferences of users in recommender systems based on collaborative filtering. It argues that it is possible to find a good compromise between quality of predictions and protection of personal data. Thus, it proposes a methodology that fulfills with strictest privacy laws for both centralized and distributed architectures. The authors hope that their attempts to provide a unified vision of privacy rules through the related works and a generic privacy-enhancing procedure will help researchers and practitioners to better take into account the ethical and juridical constraints as regards privacy protection when designing information systems.

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