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An Implementation of Recommender System using Data Mining Techniques

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(1), pp.293-300
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kiwook Lee 1 성창규 2

1동명대학교
2한국해양대학교

Candidate

ABSTRACT

The Recommender systems help users to find and evaluate items of interest. Such systems have become powerful tools in the domains from electronic commerce to digital libraries and knowledge management. Sellers can recommend products to customers with the prediction of future buying behavior on the basis of the consumer's population statistics and past selling behavior. In this paper, we are describing the design and the development of personalization recommender system which increases satisfaction level of customers by searching products to reflect the pattern and propensity of customers properly. The suggested system supplies the real-time analysis service to predict the customers' purchase situation by applying the association rule of the data mining.

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