Inferential People Recommender Method and System

摘要

An inferential people recommender method and system infers the preferences of users from usage behaviors and generates recommendations of people based upon the matching of the inferred preferences. Natural language-based explanations that provide the reasoning that is applied in making the recommendations are also provided. The inferences of preferences may be determined by inference weightings that are in accordance with behavioral-based priority rules. The inferences may be further based on factors such as proximity, and duration of proximity, of people to physical objects, including other people.