Incorporating Differential Privacy Protection to a Basic Recommendation Engine

Ali Inan

Incorporating Differential Privacy Protection to a Basic Recommendation Engine

Abstract

Recommendation engines analyze ratings data to suggest individuals new products or services based on their past experiences. However, the set of items that an individual has rated and the ratings on these items are critical for protecting individual privacy. Existing work on the problem focus on overly complicated recommendation engines. In this study, we concentrate on the case of a very simple engine protected with a very strong mechanism. Towards this goal, we incorporate differential privacy to an item-based neighborhood predictor. Empirical analyses over large-scale, real-world rating data indicate the efficiency of our proposed solution. Even at very high levels of protection, the rate of loss in prediction accuracy is below 5%, a reasonable trade-off for privacy protection.

Keywords

Recommendation Engine, Collaborative Filtering, Differential Privacy, Laplace Mechanism

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Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Ali Inan This is me

Publication Date

March 1, 2020

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2020 Volume: 9 Number: 1

IZ

https://izlik.org/JA32AE48RK

Cite

RIS / Bibtex

APA

Inan, A. (2020). Incorporating Differential Privacy Protection to a Basic Recommendation Engine. International Journal of Information Security Science, 9(1), 1-12. https://izlik.org/JA32AE48RK

AMA

1.Inan A. Incorporating Differential Privacy Protection to a Basic Recommendation Engine. IJISS. 2020;9(1):1-12. https://izlik.org/JA32AE48RK

Chicago

Inan, Ali. 2020. “Incorporating Differential Privacy Protection to a Basic Recommendation Engine”. International Journal of Information Security Science 9 (1): 1-12. https://izlik.org/JA32AE48RK.

EndNote

Inan A (March 1, 2020) Incorporating Differential Privacy Protection to a Basic Recommendation Engine. International Journal of Information Security Science 9 1 1–12.

IEEE

[1]A. Inan, “Incorporating Differential Privacy Protection to a Basic Recommendation Engine”, IJISS, vol. 9, no. 1, pp. 1–12, Mar. 2020, [Online]. Available: https://izlik.org/JA32AE48RK

ISNAD

Inan, Ali. “Incorporating Differential Privacy Protection to a Basic Recommendation Engine”. International Journal of Information Security Science 9/1 (March 1, 2020): 1-12. https://izlik.org/JA32AE48RK.

JAMA

1.Inan A. Incorporating Differential Privacy Protection to a Basic Recommendation Engine. IJISS. 2020;9:1–12.

MLA

Inan, Ali. “Incorporating Differential Privacy Protection to a Basic Recommendation Engine”. International Journal of Information Security Science, vol. 9, no. 1, Mar. 2020, pp. 1-12, https://izlik.org/JA32AE48RK.

Vancouver

1.Ali Inan. Incorporating Differential Privacy Protection to a Basic Recommendation Engine. IJISS [Internet]. 2020 Mar. 1;9(1):1-12. Available from: https://izlik.org/JA32AE48RK