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Research on Mobile Reading Service System Based on Personalized Recommendation

Author: ZhouWeiHua
Tutor: ZuoZhiQing
School: Beijing University of Posts and Telecommunications
Course: Applied Computer Technology
Keywords: Mobile reading Personalized Recommendation User interest model Collaborative Filtering
CLC: TP393.01
Type: Master's thesis
Year: 2011
Downloads: 251
Quote: 0
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Abstract


With the vigorous development of mobile Internet technology , the use of mobile phones for mobile reading behavior is becoming more common , especially reading network literary works . For mobile reading service provider , and how to enable users to quickly and efficiently find the content they are interested in the network literary works , is a huge challenge . Personalized recommendation technology can solve this problem. Personalized recommendation technology are many , which is the more common of the two technology -based the content personalized recommendation technology and collaborative filtering - based recommendation technology . However , these two technologies are applied to the network on the literary works recommended certain inadequacies . Personalized recommendation technology , user interest calculation method is a suitable network of literary works , and established an optimization model of user interest characteristics for mobile reading . Were also unable to find personalized recommendation technology based on the content of the lack of new points of interest , the combination of collaborative filtering technology further mixed Recommended . This paper also proposes a complete mobile reading system design and detailed exposition of the system design and implementation . Finally , the data generated by the actual operation of the system for analysis , confirmed the validity and the practicality of the system .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Theory of computer networks
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