J4 ›› 2011, Vol. 24 ›› Issue (5): 76-80.

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An application of improved association rules of an association graph in a recommendation system

 WANG Lin-Lin1, SHI Bing1, HU Yuan1,2, XING Hai-Hua1   

  1. 1.School of Computer Science and Engineering, Shandong University, Jinan 250101, China;
    2.77675 Troop, People’s Liberation Army, Linzhi 860000, China
  • Received:2011-06-15 Online:2011-10-20 Published:2011-10-20

Abstract:

        This paper presents an improved association rule mining algorithm for the recommended system, and our definition for the page weights. We improve the association graph based association rules mining algorithm, and apply the page weights to the mining of association rules. This algorithm employs the data acquired after pretreatment to web log to mine the association rules. Page weights are obtained through the processing of such data with a normal distribution function. The algorithm then uses the page weights to recalculate the page support, which is applied to the improved rule mining algorithm. We can therefore acquire page weights based association rule algorithm of an association graph.

Key words: page weight, normal distribution, web log data mining, association rule

CLC Number: 

  • TP311