International Business Machines Corporation

Arindam Bhowmick

Josef Scherpa

Jennifer M Hatfield

Gregory Scott Hurlebaus

Carlos Chivardi

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.

Real time recommendation engine

A system and method for providing a group recommendation is disclosed. First a group having at least one member is defined. A group profile having at least one activity and a set of conditions for the activity are created. Based on the set of conditions a corresponding set of trigger events are identified. A number of electronic data sources are monitored for information related to set of conditions. The monitored set of conditions are compared against the set of trigger events. If the threshold between the set of conditions and the set of trigger events is met, then an alert is generated that is presented to the members of the group.

Group recommendations based on external factors

A system and method for providing counter intuitive recommendations to a user. A user profile is obtained for the user. A determination is made that a trigger condition has occurred for the user. The duration of the trigger condition is also determined. The trigger condition is associated with the user's profile. A request for a recommendation is received, and a list of recommendations is obtained. The recommendations are compared against the trigger condition to determine if the recommendation is compatible with the trigger condition. Those recommendations determined not to be compatible with the trigger condition are removed from the set of recommendations.

Counterintuitive recommendations based upon temporary conditions

A system and method for providing counter intuitive recommendations to a user. A user profile is obtained for the user. A determination that a trigger condition has occurred for the user. The duration of the trigger condition is also determined. The trigger condition is associated with the user's profile. A request for a recommendation is received, and a list of recommendations is obtained. The recommendations are compared against the trigger condition to determine if the recommendation is compatible with the trigger condition. Those recommendations determined not to be compatible with the trigger condition are removed from the set of recommendations provided to the user.

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Dublin, CA, United States of America

Arindam Bhowmick