A novel user behavioral aggregation method based on synonym groups in online video systems
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- 作者：Tingting Feng ; Yuchun Guo ; Yishuai Chen
- 关键词：029101 ; 用户行为汇聚 ; 同义词组 ; 性别预测 ; 用户兴趣偏好 ; 个性化服务
- 刊名：SCIENCE CHINA Information Sciences
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：59
- 期：2
- 页码：1-3
- 全文大小：160 KB
- 参考文献：1.Weinsberg U, Bhagat S, Ioannidis S, et al. BlurMe: inferring and obfuscating user gender based on ratings. In: Proceedings of the 6th ACM Conference on Recommender Systems, New York, 2012. 195–202
2.Salamatian S, Zhang A, Calmon F D P, et al. How to hide the elephant-or the donkey-in the room: practical privacy against statistical inference for large data. In: Proceedings of IEEE Global Conference on Signal and Information Processing, Austin, 2013. 269–272
3.Kosinski M, Stillwell D, Graepel T. Private traits and attributes are predictable from digital records of human behavior. In: Proceedings of the National Academy of Sciences, Berkeley, 2013. 5802–5805
4.Bruckman A. Gender swapping on the Internet. High Noon on the Electronic Frontier: Conceptual Issues in Cyberspace, 1996. 317–326
5.Feng T, Guo Y, Chen Y, et al. Tags and titles of videos you watched tell your gender. In: Proceedings of the IEEE International Conference on Communications, Sydney, 2014. 1837–1842 - 作者单位：Tingting Feng (1)
Yuchun Guo (1)
Yishuai Chen (1)
1. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China - 刊物类别：Computer Science
- 刊物主题：Chinese Library of Science
Information Systems and Communication Service - 出版者：Science China Press, co-published with Springer
- ISSN：1869-1919
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