A Differential Privacy Framework for Collaborative Filtering
Joint Authors
Zhang, Jianpei
Yang, Jing
Li, Xiaoye
Sun, Zhenlong
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Focusing on the privacy issues in recommender systems, we propose a framework containing two perturbation methods for differentially private collaborative filtering to prevent the threat of inference attacks against users.
To conceal individual ratings and provide valuable predictions, we consider some representative algorithms to calculate the predicted scores and provide specific solutions for adding Laplace noise.
The DPI (Differentially Private Input) method perturbs the original ratings, which can be followed by any recommendation algorithms.
By contrast, the DPM (Differentially Private Manner) method is based on the original ratings, which perturbs the measurements during implementation of the algorithms and releases the predicted scores.
The experimental results showed that both methods can provide valuable prediction results while guaranteeing DP, which suggests it is a feasible solution and can be competent to make private recommendations.
American Psychological Association (APA)
Yang, Jing& Li, Xiaoye& Sun, Zhenlong& Zhang, Jianpei. 2019. A Differential Privacy Framework for Collaborative Filtering. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194352
Modern Language Association (MLA)
Yang, Jing…[et al.]. A Differential Privacy Framework for Collaborative Filtering. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1194352
American Medical Association (AMA)
Yang, Jing& Li, Xiaoye& Sun, Zhenlong& Zhang, Jianpei. A Differential Privacy Framework for Collaborative Filtering. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194352
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194352