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Data Engineering via Noise Injection
Today, online data trails provide large volumes of private, real-time consumer information to companies doing business on the Internet. Whether it s search histories, GPS locations, browsing behavior, or social media content, companies such as Google, Amazon and Facebook are able to mine data streams to gain insights about details that consumers may consider private.
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Creating a code set and experiment to see what level of “fake and automated” requests on internet sites could have the effect of confusing the AI algorithms that track users preferences. This can be useful to users who want to have increased privacy, and the results can be useful to firms who would want to understand what information would still be reliable about customers if the data collected becomes increasingly noisy.
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