![]() Once it’s collected and analyzed, though, your data doesn’t just sit around – it will likely travel on epic journeys between companies that specialize in finding, updating, and selling off user data to companies that need it. By looking at the information it’s given, an algorithm can decide whether to label you as a candidate for a bicycle ad or a cheeseburger ad, for instance. Implicit data is often also mixed in with inferred data, which is produced by analyzing a profile and making guesses about the person it represents. Your browsing habits, how long you stay on a webpage, the ads you click on, your mouse movements, your playlists – almost anything you do online could theoretically be collected and sent to a database for analysis. Implicit data is data that is collected about you without needing your direct input. These details are just basic user data, and since they’re so widespread and easy to obtain, the most common data points aren’t worth very much on their own. ![]() ![]() Generally, this is done when a customer signs up for a service or creates some kind of profile, and it can include everything from your name (though it’s often anonymized), age, and location to your hobbies and personality type. It’s often broken down into three main categories: explicit/declared data, implicit/inferred data, and third-party data.Įxplicit data is anything that a user gives a company voluntarily. “User data” is pretty much everything that a particular company knows about you.
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