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Exponential Smoothing Temporal Association Rules for Recommendation of Temporal Products

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(1), pp.45-51
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kyeong-Ja Jeong 1

1충청대학

Candidate

ABSTRACT

We proposed the product recommendation algorithm mixed the temporal association rule and the exponential smoothing method. The temporal association rule added a temporal concept in a commercial association rule. In this paper, we proposed a exponential smoothing temporal association rule that is giving higher weights to recent data than past data. Through simulation and case study in temporal data sets, we confirmed that it is more precise than existing temporal association rules but consumes running time.

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