吉林大学学报(工学版)

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User intention recognition for Web initiative services based
on hybrid intelligent mining

Xu Xin-wei，Zhou Liang，Xu Xiao-ming，Ding Qiu-lin   

  1. Computer Application Institute，Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2006-03-21 Revised:2006-06-22 Online:2007-03-01 Published:2007-03-01
  • Contact: Ding Qiu-lin

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Abstract: Based on the different activities of user intention in Web initiative services, a hybrid intelligent algorithm to discover and distinguish user intention was presented. The preference learning with vSVC provided effective preference recognition and role selection for user intention. The concept hierarchy algorithm was used to conceptualize the user service attributes, thus to find the focus point of service. Fuzzy clustering method was used to identify the service quality and grade expected by the users.The experiment results show that hybrid mining is effective and applicable in intention recognition.

Key words: computer application, Web service, intention recognition, initiative service, supported vector machine, concept hierarchy, fuzzy clustering

CLC Number: 

  • TP393.0
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