The Use of Persona in Recommendation System and Privacy Protection

DOI

10.2991/icmemtc-16.2016.323How to use a DOI?

Keywords

Persona; Digitalized User Model; Personalized Recommendation; Privacy Protection

Abstract

Aimed at the contradiction between personalized recommendation and privacy protection, this paper puts forward the basic idea of persona, a digitalized user model. The method uses browser to analyze user's access behavior, gets a comprehensive and accurate user model, so as to help realize the personalized recommendation. In consideration of privacy, let user model saved on the client side, and user can decide to what extent browser will offer his/her own user characteristics to the target website, so user's privacy is fully protected. Thus it solved the contradiction between the personalized recommendation and privacy protection successfully.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Suduo Li
AU  - Kaiying Deng
AU  - Jingwei Deng
AU  - Yingxing Li
PY  - 2016/04
DA  - 2016/04
TI  - The Use of Persona in Recommendation System and Privacy Protection
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1706
EP  - 1711
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.323
DO  - 10.2991/icmemtc-16.2016.323
ID  - Li2016/04
ER  -