Using Matrix Model to Find Association Rule Core for Diverse Compound Critiques

  • Authors:

  • Li Yu

  • Affiliations:

  • School of Information, Renmin University of China, Beijing, P. R. China 100872 and Key Laboratory of Data Engineering and Knowledge Engineering, (Renmin University of China), MOE, Beijing, P. R. C ...

  • Venue:
  • ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
  • Year:
  • 2008

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Abstract

Dynamic critiquing approach is capable of automatically identifying useful compound critiques during each recommendation cycle, relative to the remaining cases. In current method, it is often too similar compound critiques are produced and presented to user. They limit the scope of the feedback options for the user. In this paper, a novel rule matrix model is proposed to find minimal association rule core for enhancing diverse compound critiques. All association rules generated though a frequent itemset are shown in elements of rule matrix, and minimal association rule core can be quickly determined though base elements in matrix. Association rule core is used to produce dynamic compound critiques. An example given better illustrates our method.