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Anonymizing user profiles for personalized web search (2010)
| Venue: | In WWW |
| Citations: | 12 - 0 self |
BibTeX
@INPROCEEDINGS{Zhu10anonymizinguser,
author = {Yun Zhu and Li Xiong and Christopher Verdery},
title = {Anonymizing user profiles for personalized web search},
booktitle = {In WWW},
year = {2010}
}
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Abstract
We study the problem of anonymizing user profiles so that user privacy is sufficiently protected while the anonymized profiles are still effective in enabling personalized web search. We propose a Bayes-optimal privacy notion to bound the prior and posterior probability of associating a user with an individual term in the anonymized user profile set. We also propose a novel bundling technique that clusters user profiles into groups by taking into account the semantic relationships between the terms while satisfying the privacy constraint. We evaluate our approach through a set of preliminary experiments using real data demonstrating its feasibility and effectiveness.
