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