Sharing Recommendation Agents

A customized recommendation agent for the user is built using a behavioral model. The customized recommendation agent selects recommendations from a corpus to present to the user, based on the behavioral model and the user's current or predicted future context. The customized recommendation agent can be shared by the user with others, thus allowing others to access recommendations that may appeal to the user, for example, for use in planning joint activities. Because the user's recommendation agent is independent from the user's actual history, preferences can be shared without revealing a user's specific behavior.