| Autor: |
Li Xiong, Y M Zhu, Christopher Verdery |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
WWW |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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