Email this article Online Prediction Mechanism For Personalizing A Query For User Privacy
Abstract
We propose a customized web look (PWS) framework called UPS that can adaptively entirety up profiles by request while with respect to customer demonstrated assurance requirements. Our runtime hypothesis goes for striking a concordance between two farsighted estimations that evaluate the utility of personalization and the security threat of revealing the summed up profile. We indicate o avaricious calculations, to be particular GreedyDP and GreedyIL, for runtime theory. We furthermore give an online gauge framework to picking in the case of modifying a request is profitable. Expansive examinations demonstrate the reasonability of our framework.
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