The Use of Persona in Recommendation System and Privacy Protection
Authors
Suduo Li, Kaiying Deng, Jingwei Deng, Yingxing Li
Corresponding Author
Suduo Li
Available Online April 2016.
- 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/).
Cite this article
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 -