International Business Machines Corporation
Shared user context for efficient conversations

Abstract:

An electronic message including text generated by a first user can be identified and at least a second user can be identified as a recipient. At least one n-gram contained in the text of the electronic message can be identified by performing natural language processing on the text. A first user profile of the first user and a second user profile of the second user can be accessed. Based on the first user profile and the second user profile, at least one user context of the first user, not shared with the second user, relating to the computer-understandable meaning of the at least one n-gram can be determined. The electronic message as presented to the second user can include the at least one user context of the first user, not shared with the second user, relating to the computer-understandable meaning of the at least one n-gram.