Intelligent Information Recommend System on the Internet

  • Authors:
  • Eun-seok Lee

  • Affiliations:
  • -

  • Venue:
  • ICPP '99 Proceedings of the 1999 International Workshops on Parallel Processing
  • Year:
  • 1999

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Abstract

In a large-scale distributed network environment like Internet, the popularization of computers and the Internet have produced an explosion in the amount of digital information. As a result, it becomes more important and difficult to retrieve the product information adaptively to user preferences out of the overflowing advertisement that is changed dynamically. Though there are many types of search engines, they still have no way to adapt and filter information for each user[5]. To cope with these problems, we proposed a new product information recommend system. Keywords: information; preference; product; recommend; Internet;