Collective Intelligence Case-Based Reasoning System and its Method for user-customized recommendation

摘要

A collective intelligence type case-based reasoning system and its method for customized recommendations are presented. The collective intelligence type case-based reasoning method for user-customized recommendation according to an embodiment of the present invention includes the steps of expressing a user's context as a new case and making a case; Based on the new case of the user's context, the previous case is searched from the case-base (CB), and the cases with the highest similarity or cases with the highest similarity are selected, based on the predetermined upper cases in the order of the highest similarity 1 Deriving a primary solution and recommending the primary solution to the user; And receiving the user's feedback on the first solution, modifying the final solution by reflecting the user's feedback, and recommending the final solution to the user.