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In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In this work, we show how an adversary can exploit an online social network with a mixture of public and private user profiles to predict the private attributes of users. We map this problem to a relational classification problem and we propose practical models that use friendship and group membership information (which is often not hidden) to infer sensitive attributes. The key novel idea is that in addition to friendship links, groups can be carriers of significant information. We show that on several well-known social media sites, we can easily and accurately recover the information of private-profile users. To the best of our knowledge, this is the first work that uses link-based and group-based classification to study privacy implications in social networks with mixed public and private user profiles.
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No longer the stuff of science fiction, augmented reality is fast catching on with forward-thinking brands. Zed Media's Alex Smith lists the best examples to date of AR as part of wider brand-building activity.
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When computer scientist Tim Berners-Lee first submitted his 1989 paper, "Information Management: A Proposal," his boss, Mike Sendall, wrote "vague, but exciting" on it by way of endorsing what was the blueprint for the World Wide Web.
Two decades later, Berners-Lee and others are formulating what can be called the third generation of the Web, the "semantic Web," or "Web 3.0." I know, I know, most of us are still trying to deal with Web 2.0 as part of a very confusing marketing landscape.
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In the new Bing-enabled world, search is hotter than ever. Your entire Search Insider lineup has been trading quips and forecasts about the future of search. Aaron Goldman thinks Hunch may be the answer to my call for an iPhone of search. Today, I want to talk about why Wolfram|Alpha is very, very important to watch. It's not an iPhone, but it is changing the rules of search in a very significant way.


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