WASET
	%0 Journal Article
	%A Sung Ho Ha and  Seong Hyeon Joo and  Hyun U. Pae
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 11, 2007
	%T Searching for Similar Informational Articles in the Internet Channel
	%U https://publications.waset.org/pdf/12700
	%V 11
	%X In terms of total online audience, newspapers are the most successful form of online content to date. The online audience for newspapers continues to demand higher-quality services, including personalized news services. News providers should be able to offer suitable users appropriate content. In this paper, a news article recommender system is suggested based on a user-s preference when he or she visits an Internet news site and reads the published articles. This system helps raise the user-s satisfaction, increase customer loyalty toward the content provider.

	%P 3393 - 3396