International Business Machines Corporation

Jagadish B Kotra

Gisela C Cheng

Anuja Deedwaniya

Olivier Boehler

Shayne M Grant

Zamir G Gonzalez

A method, system, and computer program product for intelligent command prediction are provided. The method includes determining a command prediction preference associated with a user from user profile data, and selecting one or more command history repositories responsive to the command prediction preference. The one or more command history repositories include command history data collected from a plurality of users and classification data associated with the plurality of users. The method also includes calculating command probabilities for commands in the command history data of the selected one or more command history repositories as a function of the classification data associated with the plurality of users in relation to the user. The method additionally includes presenting a next suggested command as a command from the command history data of the selected one or more command history repositories with a highest calculated command probability.

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Bengaluru, India

Jagadish B Kotra