Visa International Service Association

Linkedin Corporation

Microsoft Technology Licensing, LLC

Michael Chang

David Q He

Badrinath K Sridharan

Ruixuan Hou

Luba Goldberg

Neil Mumm

Stephanie Tsimis

Techniques described herein include systems and methods for biometric authentication utilizing a dynamically updated biometric template derived from social media content of a user. In some embodiments, a service provider computer receives an authentication request that comprises biometric data provided by the user utilizing a user device. Social media content associated with the user may be received by the service provider computer from a social network service computer. In embodiments, the service provider computer may generate a biometric template for the user based on the received social media content where the biometric template is continually updated based on new social media content shared by the user. The service provider computer may determine a confidence score based on a comparison of the biometric data and the biometric template. The service provider computer may verify the authentication request for the user based at least in part on the confidence score.

System and method for biometric authentication using social network

Computerized techniques are described for detecting performance degradation during features ramp up. A first version of web content is sent to first client devices. The first version of the web content lacks a particular feature. First performance data that indicates performance of each first client device with respect to processing the web content is received. A second version of the web content is sent to second client devices. The second version of the web content has the particular feature. Second performance data that indicates performance of each second client device with respect to processing the web content is received. The first performance data is compared with the second performance data to determine a difference between a processing metric associated with the first version of the web content and a processing metric associated with the second version of the web content.

Detecting and alerting performance degradation during features ramp-up

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Fremont, CA, United States of America

Michael Chang