Companies such as Amazon and Google currently use similar technologies to identify user behavior and then offer suggestions or products that might interest users.
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According to the claims, hearing aids worn by at least two users will work in tandem with a personal computing device to identify user identities, establish a communication link and then swap profiles -- not a list of likes and dislikes, but dynamic audio settings.
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While some carriers still use phone numbers to identify specific user devices or accounts, Apple has abandoned them in favor of unique device IDs (UDIDs).
Basically, Skype will reveal the IP address of a called party before the call is connected, allowing the data to be used to identify the user.
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One fundamental flaw, he said, is the relative anonymity provided by the Internet's system of IP addresses, which only identify a user's general location, not a specific computer.
Sure, a fingerprint will identify a user to his or her systems, but what about the possibility of connecting a fingerprint to an iTunes account, a social networking or job-hunting site, or even a credit card number?
For example, instead of creating a user account, you now can create a user object that includes various attributes that help identify where the user account lives in the network hierarchy.
Even on its settings for older users, the site employs teams of moderators to identify and ban any user spouting less-than-innocent language.
By combing through its clients' clips, the service creates signatures that allow the media companies to identify their content on user-generated video sites.
As Apple is using the reply-to address of a message's User Data Header to identify the origin rather than the raw source, receiving iPhone owners risk being fooled by a phishing attack (or just a dishonest acquaintance) that poses as a contact or a company.
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But unlike DanKam, most of the more than a dozen other apps simply allow the user to click on an image to identify a color.
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With FaceTools, end users can automatically identify individuals, capture fast moving objects, use enhanced user interfaces via real-time tracking of pupils, and take flawless pictures even under sub-optimum light or color balance conditions.
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In setting policy it is important first to segment your workforce to identify different types of users and determine the best ownership model by user type.
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Many organizations and conferences name specific hashtags to identify particular events, sessions, or marketing activities that they and any user can track.
Nina combines Nuance speech recognition, Text-to-Speech (TTS), voice biometrics, and Natural Language Understanding (NLU) technology hosted in the cloud to deliver an interactive user experience that not only understands what is said, but also can identify who is saying it.
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