International Business Machines Corporation

Kaji Rashad

Al Chakra

Matias Mendieta

Patricia Bui

Jerry Wayne Stevens

Aaron Ye Li

Techniques and apparatus for optimizing communications between computing devices are described. An example technique includes determining one or more parameters of a communication between a first computing device and a second computing device. At least one of a networking stack or a communication protocol that will meet a target set of criteria for the communication is predicted, based on evaluating the one or more parameters with at least one machine learning model. An indication of at least one of the networking stack or the communication protocol is transmitted.

Automatic detection of optimal networking stack and protocol

A computer-implemented method includes tracking usage history of a plurality of components of one or more products. An original set of announcements about the one or more products is received, where the original set of announcements includes a plurality of announcement records. The plurality of announcement records are prioritized based on the usage history of the plurality of components. A usage-based set of announcements is generated based on the prioritization of the plurality of announcement records.

Customizing product announcements based on product usage

Embodiments include a method, system and computer program product for performing the detection of genuine social media profiles. In some embodiments, a request is received for a target user to join the social network. The request can be used to analyze one or more categories associated with a user profile information of at least one of a requesting user or the target user, and a category score can be calculated for one or more categories. A total score can be calculated from the one or more category scores, and a notification can be provided to the target user indicating the total score.

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Fort Pierce, FL, United States of America

Kaji Rashad