SCIENCE CHINA Information Sciences, Volume 59 , Issue 2 : 029101(2016) https://doi.org/10.1007/s11432-015-5466-8

A novel user behavioral aggregation method based on synonym groups in online video systems

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  • ReceivedSep 20, 2015
  • AcceptedOct 13, 2015
  • PublishedJan 5, 2016


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[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. Google Scholar

[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. Google Scholar

[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. Google Scholar

[4] Bruckman A. Gender swapping on the Internet. High Noon on the Electronic Frontier: Conceptual Issues in Cyberspace, 1996. 317--326. Google Scholar

[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. Google Scholar


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