Mining Model for User Profile in Personalized Mobile Service

doi:10.13190/jbupt.2006s2.144.zhouyq

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (s2): 144-147.doi: 10.13190/jbupt.2006s2.144.zhouyq

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Mining Model for User Profile in Personalized Mobile Service

ZHOU Yan-quan, ZHANG Chuan-fu, ZHANG Rui-hua, LI Lei, HE Hua-can

Center for Intelligent Science and Technology Research, Beijing University of Posts and Telecommunications, Beijing 100876，China

Received:2006-01-01 Revised:1900-01-01 Online:2006-11-30 Published:2006-11-30
Contact: ZHOU Yan-quan

Abstract

Abstract:

Based on the off-line mobile news service system already realized, the model for precise description and measurement of user profile was studied through adopting the technology of knowledge discovery from database. The news browsing manner of mobile users was analyzed, while news similarity was computed based on users’ reading style, then the model for user profile was generated by the mining algorithm. The experiments showed that this model worked very well in describing user profile and promoted efficiency of personalized mobile service system.

Key words: mobile information service, personalized, use profile, mining algorithm

CLC Number:

TN391. 22

ZHOU Yan-quan, ZHANG Chuan-fu, ZHANG Rui-hua, LI Lei, HE Hua-can

. Mining Model for User Profile in Personalized Mobile Service[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(s2): 144-147.

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Mining Model for User Profile in Personalized Mobile Service

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