The Research of News Recommendation Service Based on Mobile Off-Line Reading System

doi:10.13190/jbupt.200606.21.zhangrh

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (6): 21-24.doi: 10.13190/jbupt.200606.21.zhangrh

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The Research of News Recommendation Service Based on Mobile Off-Line Reading System

ZHANG Rui-hua, ZHOU Yan-quan, WANG Cong, LI Lei

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

Received:2005-07-15 Revised:1900-01-01 Online:2006-12-30 Published:2006-12-30
Contact: ZHANG Rui-hua

Abstract

Abstract:

Personalized information service is studied for providing high quality mobile information service to mobile users. Based on the mobile off-line reading system, an algorithm of the individuation recommendation service is proposed. The K near neighbors classification method is adjusted so as to trace, log, model and analyze the series of users’ actions for news browsing. Then the personalized features are classified and saved, and could be used later in the system to provide the real-time individual information recommendation for each user’s access to news. Simulation experiment result has certified the utility and feasibility of the individual recommendation algorithm. The accuracy of the recommendation can reach 70%.

Key words: intelligent information dispose, individuation information service, classification, recommend

CLC Number:

TP18

ZHANG Rui-hua, ZHOU Yan-quan, WANG Cong, LI Lei. The Research of News Recommendation Service Based on Mobile Off-Line Reading System[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(6): 21-24.

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The Research of News Recommendation Service Based on Mobile Off-Line Reading System

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