期刊论文、会议论文

Zhu, Tianqing

英文

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013

2013

752-759

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

AUG 25-28, 2013

Niagara Falls, CANADA

[Zhu, Tianqing] Wuhan Polytech Univ, Wuhan, Peoples R China.^[Zhu, Tianqing;Li, Gang;Ren, Yongli;Zhou, Wanlei] Deakin Univ, Sch Infonnat Technol, Geelong, Vic 3217, Australia.^[Xiong, Ping] Zhongnan Univ Econ & Law, Sch Informat & Secur Engn, Wuhan, Peoples R China.

IEEE, Assoc Comp Machinery, Assoc Comp Machinery SIGKDD, IEEE Comp Soc, IEEE TCDE, Global Univ, Hellen American Univ, Springer, Microsoft, EXtra, Springer Verlag, Assoc Comp Machinery SIGMOD

Ozyer, T Carrington, P

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-4503-2240-9

10.1145/2492517.2492519

本校为第一且通讯机构

As a popular technique in recommender systems, Collaborative Filtering (CF) has received extensive attention in recent years. However, its privacy-related issues, especially for neighborhood-based CF methods, can not be overlooked. The aim of this study is to address the privacy issues in the context of neighborhood-based CF methods by proposing a Private Neighbor Collaborative Filtering (PNCF) algorithm. The algorithm includes two privacy-preserving operations: Private Neighbor Selection and Recommendation-Aware Sensitivity. Private Neighbor Selection is constructed on the basis of the notion...