International Business Machines Corporation
Real time recommendation engine
Last updated:
Abstract:
A system and method for providing recommendations to at least one user is disclosed. A user profile for the user is obtained. Data is identified in the user indicative of interests of the users. This is stored in a profile store. Activity profiles and profiles of reviewers of the activity are created. A match between the author profiles, the user profiles and the activity profiles are identified. From these matches a list of activities is generated and presented to the user to select an activity to engage in.
Status:
Grant
Type:
Utility
Filling date:
11 Jul 2017
Issue date:
19 Apr 2022