Social learning inferencing engine for intelligent agent environment

摘要

A social learning inferencing engine for a wide range of information searching applications is generally applicable to a wide range of applications due to the engine's interfaces and the objects involved in these interfaces. The basic interfaces are a record of a user's score of a object, a count of the number of times a user references an object, and a prediction of a user's score of a object given the user has not previously scored the object. The scores of this user and other users strongly similar or strongly dissimilar to this user for this object and other objects strongly similar or strongly dissimilar to this object are used in making this prediction. The two central object classes in the system are the users and the objects. The user object class contains member fields that identify the user, specify configuration values specific to this user (these configuration values being used in predicting the scores of the objects for this user), and links to objects that the user has scored or referenced. The object class contains member fields that identify the object and links to user objects that have scored or referenced this object.