Privacy preserving social media data publishing for personalised ranking based recommendations
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Data mining
PrivRank
Big data
Abstract
In this paper, we proposed PrivRank, a customizable and continuous privacy-preserving social media data publishing framework protecting users against inference attacks while enabling personalized ranking-based recommendations. Its key thought is to ceaselessly jumble client action information with the end goal that the security spillage of client determined private information is limited under a given information bending spending plan, which limits the positioning misfortune brought about from the information jumbling process keeping in mind the end goal to save the utility of the information for empowering proposals.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Vijiyalakshmi C | Panimalar Engineering College |
| 2 | Prathana Elizabeth Jyoti J | Panimalar Engineering College |
| 3 | Pavithra R | Panimalar Engineering College |
| 4 | Sharmila R | Panimalar Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
C, Vijiyalakshmi, J, Prathana Elizabeth Jyoti, R, Pavithra, & R, Sharmila (2019). Privacy preserving social media data publishing for personalised ranking based recommendations. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 452-456.
MLA Style
C, Vijiyalakshmi, et al. "Privacy preserving social media data publishing for personalised ranking based recommendations." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 452-456.
IEEE Style
Vijiyalakshmi C, Prathana Elizabeth Jyoti J, Pavithra R, and Sharmila R, "Privacy preserving social media data publishing for personalised ranking based recommendations," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 452-456, 2019.
Vancouver Style
C Vijiyalakshmi, J Prathana Elizabeth Jyoti, R Pavithra, R Sharmila. Privacy preserving social media data publishing for personalised ranking based recommendations. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):452-456.
Harvard Style
C, Vijiyalakshmi, J, Prathana Elizabeth Jyoti, R, Pavithra, & R, Sharmila (2019) 'Privacy preserving social media data publishing for personalised ranking based recommendations', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 452-456.
Chicago Style
C, Vijiyalakshmi, et al. "Privacy preserving social media data publishing for personalised ranking based recommendations." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 452-456.
Turabian Style
C, Vijiyalakshmi, et al. "Privacy preserving social media data publishing for personalised ranking based recommendations." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 452-456.
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