Abstract: Embodiments for managing content by one or more processors are described. A content portion associated with a user is detected. A storage scheme for the content portion is selected based on at least one data source associated with utilization of previous content portions by the user. The content portion is caused to be stored on a computing device according to the selected storage scheme.

Abstract: Embodiments of the present invention provide a method, system and computer program product for cognitive user identification recommendation. In an embodiment of the invention, a method for cognitive user identification recommendation includes monitoring typing patterns of an end user as the end user enters data in different fields of different applications of a computing device having a device type and categorizing each of the fields and applications according to field type and application type. The method further includes generating a data structure mapping the user typing patterns to each type of field and application to model user input behavior of the end user. The method also includes transmitting the data structure to a requesting application for prompting the end user to provide a particular type of password mapped to the modeled user input and consistent with a field type of the password and a type of requesting application.

Abstract: Embodiments for managing content by one or more processors are described. A content portion associated with a user is detected. A storage scheme for the content portion is selected based on at least one data source associated with utilization of previous content portions by the user. The content portion is caused to be stored on a computing device according to the selected storage scheme.

Abstract: Embodiments of the present invention provide a method, system and computer program product for cognitive user identification recommendation. In an embodiment of the invention, a method for cognitive user identification recommendation includes monitoring typing patterns of an end user as the end user enters data in different fields of different applications of a computing device having a device type and categorizing each of the fields and applications according to field type and application type. The method further includes generating a data structure mapping the user typing patterns to each type of field and application to model user input behavior of the end user. The method also includes transmitting the data structure to a requesting application for prompting the end user to provide a particular type of password mapped to the modeled user input and consistent with a field type of the password and a type of requesting application.