Developing a recommendation system for e-newspaper articles through personalizing digital contents

  • Ha Sung Ho (School of Business Administration, Kyungpook National University) ;
  • Yi Jae-Shin (School of Business Administration, Kyungpook National University)
  • 발행 : 2004.10.01

초록

This study presented a personalization system that adopted a methodology which is applicable for digital content recommendation and executed by the Internet service providers. The system made a recommendation to the users on the basis of their preferences, while most techniques for recommending digital content have focused on considering the similarity of content. In addition, it developed a method of evaluation to determine the priority of recommendations and adopted measures when selecting a set of recommendations. To experiment the feasibility and effectiveness of the presented methodology, a prototype system was developed and was applied to an English newspaper on the Internet.

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