An Information Recommendation Model Based on Concept Classes Extracted from Wikipedia Categories

Abstract

In this study, we present an information recommendation model based on a set of concept classes that are extracted from Wikipedia categories and pages. The indices of all the pages are organized so that they represent concepts. Using this information, data representing the users' access behavior are collected and categorized according to the concept classes. The proposed model is then established by analyzing the preprocessed data in terms of short, medium, long periods, and calculating the probabilities corresponding to each concept.