Abstract: Computer technology for protecting data security in a computerized system for recommending content to users where, a processing unit generates an identifier for a first data record relating to a user device based on a first machine learning model. Then, the processing unit sends the identifier to a service provider, and the service provider uses the identifier to determine one or more contents to be sent to the user device. Creating and using a decision tree machine learning (ML) model and a cluster ML model with training records and a transformed records.

Abstract: Unloading shared resources is described. A shared library correlation table (SLCT) is generated in a mock resource. During a close function, selecting an entry in the SLCT is selected for reducing a reference count of the selected entry in the SLCT, a status of the selected entry based on the reference count is verified, and an associated container of the selected entry is removed from memory when the status of the selected entry indicates the associated container is not a shared resource, thereby avoiding segmentation faults.

Abstract: This disclosure provides a method, a computing system and a computer program product for managing resource sharing among devices with different platforms. The method comprises obtaining connection information for connecting to a requesting device by decoding authentication information, wherein the authentication information is created based at least on an identifier of the requesting device. The method further comprises sending a request including the connection information to a request proxy, wherein the request is redirected by the request proxy to a plurality of devices having more than one platform. The method further comprises receiving a response to the request, wherein the response is obtained by combining responses received by the request proxy from the plurality of devices.

Abstract: Computer technology for protecting data security in a computerized system for recommending content to users where, a processing unit generates an identifier for a first data record relating to a user device based on a first machine learning model. Then, the processing unit sends the identifier to a service provider, and the service provider uses the identifier to determine one or more contents to be sent to the user device. Creating and using a decision tree machine learning (ML) model and a cluster ML model with training records and a transformed records.