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Link to original content: https://unpaywall.org/10.1007/S11277-016-3454-Y
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Towards Context-Aware Mobile Web Browsing

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Abstract

With the rapid development of mobile web technology, different kinds of mobile web services are emerging, such as instant news, music, advertisement, etc. Due to the limit of mobile devices and the overloaded information, it is necessary to recommend personalized information to the end-users. In this paper, we propose a context-aware mobile web browsing system for personalized information recommendation on mobile devices. We capture the user’s contexts such as time and location during web browsing to obtain context-based user preferences. The system then recommends users most favoured content by adapting the webpage according to user profile and the current context. Finally, we implement a prototype of context-aware mobile web browsing system using HTML5 on Android platform and conduct a preliminary evaluation with respect to user satisfaction and recommendation accuracy.

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Acknowledgments

This work is partially supported by the National Basic Research Program of China (Nos. 2015CB352400), the National Natural Science Foundation of China (Nos. 61402369, 61222209), and the Fundamental Research Funds for the Central Universities (No. 3102014JSJ0004). The authors would like to thank all the colleagues for their discussion and suggestion.

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Authors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, Xi’an, 710072, China

    Zhu Wang, Zhiwen Yu, Xingshe Zhou & Bin Guo

  2. School of Computer Science, Chongqing University, Chongqing, China

    Chao Chen

Authors
  1. Zhu Wang
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  2. Zhiwen Yu
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  3. Xingshe Zhou
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  4. Chao Chen
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  5. Bin Guo
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Corresponding author

Correspondence to Zhu Wang.

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Wang, Z., Yu, Z., Zhou, X. et al. Towards Context-Aware Mobile Web Browsing. Wireless Pers Commun 91, 187–203 (2016). https://doi.org/10.1007/s11277-016-3454-y

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