METHOD FOR RECOMMENDING CONTENT BASED ON USER PREFERENCE WITH TIME FLOW

摘要

PURPOSE: A content recommendation method is provided to improve searching efficiency by providing a user-preferred recommendation list and by creating neighbor group based on a usage history. CONSTITUTION: Content data is stored in a content database by collecting the content data(S10). The content group preference of a user and the content individual preference are calculated based on the content usage history of a user(S20). Neighbors including the content preference similar with the user are firstly selected based on the calculated content group preference. Other neighbors including the content preference similar with the user are secondly selected based on the content individual preference(S30).