A real-time E-magazine generation system

Abstract

We propose a real-time magazine generation system and a new form E-magazine system.We used two ways of recommendation using Confabulation-Model.The first is the method that extracts the reading pattern from the reading history of users and recommends article by using this pattern.The second is the method that recommends the article matched the idea of users by user's selection concept from extracted concepts.As a result,we could show the utility of these recommender systems.