Skip to main content
SpringerLink
Log in

Towards Context-Aware Mobile Web Browsing

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Swedish research company royal pingdom. (2013). Internet 2012 in numbers. http://royal.pingdom.com/2013/01/16/internet-2012-in-numbers/.

  2. Baldauf, M., Dustdar, S., & Rosenberg, F. (2007). A survey on context-aware systems. International Journal of Ad Hoc Ubiquitous Computing, 2(4), 263–277.

    Article  Google Scholar 

  3. Yu, Z., Zhou, X., Zhang, D., Chin, C. Y., Wang, X., & men, J. (2006). Supporting context-aware media recommendations for smart phones. Pervasive Computing IEEE, 5(3), 68–75.

    Article  Google Scholar 

  4. Gavalas, D., & Kenteris, M. (2011). A web-based pervasive recommendation system for mobile tourist guides. Personal Ubiquitous Computing, 15(7), 759–770.

    Article  Google Scholar 

  5. Zhuang, J., Mei, T., Hoi, S. C., Xu, Y. Q., & Li, S. (2011). When recommendation meets mobile: Contextual and personalized recommendation on the go. In Proceedings of the 13th international conference on ubiquitous computing, UbiComp’11 (pp. 153–162). New York, NY, USA: ACM.

  6. Tang, L., Zhou, X., Yu, Z., Liang, Y., Zhang, D., & Ni, H. (2011). Mhs: A multimedia system for improving medication adherence in elderly care. Systems Journal, IEEE, 5(4), 506–517.

    Article  Google Scholar 

  7. Yu, Z., Du, R., Guo, B., Xu, H., Gu, T., Wang, Z., Zhang, D. (2015). Who should i invite for my party?: Combining user preference and influence maximization for social events. In Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing, UbiComp’15 (pp. 879–883). ACM, New York, NY, USA. doi:10.1145/2750858.2805839.

  8. Dontcheva, M., Drucker, S. M., Wade, G., Salesin, D., & Cohen, M. F. (2006). Summarizing personal web browsing sessions. In Proceedings of the 19th annual ACM symposium on user interface software and technology, UIST’06 (pp. 115–124). New York, NY, USA: ACM.

  9. Barricelli, B. R., Padula, M., & Scala, P. L. (2009). Personalized web browsing experience. In Proceedings of the 20th ACM conference on hypertext and hypermedia, HT’09 (pp. 345–346). New York, NY, USA: ACM.

  10. Majumder, A., & Shrivastava, N. (2013). Know your personalization: Learning topic level personalization in online services. In Proceedings of the 22nd international conference on world wide web, WWW’13 (pp. 873–884). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland.

  11. Elahi, M. (2010). Context-aware intelligent recommender system. In Proceedings of the 15th international conference on intelligent user interfaces, IUI’10 (pp. 407–408). New York, NY, USA: ACM.

  12. Lee, H., Choi, J., & Park, S. (2005). Context-aware recommendations on the mobile web. In R. Meersman, Z. Tari, & P. Herrero (Eds.), On the move to meaningful internet systems 2005: OTM 2005 workshops (Vol. 3762, pp. 142–151). Lecture Notes in Computer Science Berlin, Heidelberg: Springer.

  13. Jacob, C., & Steglich, S. (2010). Conbrowse−contextual content browsing. In Proceedings of the 7th IEEE conference on consumer communications and networking conference, CCNC’10 (pp. 595–599). Piscataway, NJ, USA: IEEE Press.

  14. Gasimov, A., Magagna, F., Sutanto, J. (2010). Camb: Context-aware mobile browser. In Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia, MUM’10 (pp. 22:1–22:5). ACM, New York, NY, USA. doi:10.1145/1899475.1899497.

  15. Bajaj, R., Ranaweera, S., & Agrawal, D. (2002). Gps: Location-tracking technology. IEEE Computer, 35(4), 92–94.

    Article  Google Scholar 

  16. Trevisani, E., & Vitaletti, A. (2004). Cell-id location technique, limits and benefits: An experimental study. In Proceedings of the sixth IEEE workshop on mobile computing systems and applications, WMCSA’04 (pp. 51–60). Washington, DC, USA: IEEE Computer Society.

  17. Rekimoto, J., Miyaki, T., & Ishizawa, T. (2007). Lifetag: Wifi-based continuous location logging for life pattern analysis. In Proceedings of the 3rd international conference on location-and context-awareness, LoCA’07 (pp. 35–49). Berlin, Heidelberg: Springer.

  18. Kessler, C. (2007). Similarity measurement in context. In Proceedings of the 6th international and interdisciplinary conference on modeling and using context, CONTEXT’07 (pp. 277–290). Berlin, Heidelberg: Springer.

  19. Goldstone, R., Medin, D., & Halberstadt, J. (1997). Similarity in context. Memory & Cognition, 25(2), 237–255.

    Article  Google Scholar 

  20. Gupta, S., Kaiser, G., Neistadt, D., & Grimm, P. (2003). Dom-based content extraction of html documents. In Proceedings of the 12th international conference on world wide web, WWW’03 (pp. 207–214). New York, NY, USA: ACM.

  21. Wang, Z., Zhou, X., Yu, Z., Wang, H., & Ni, H. (2010). Quantitative evaluation of group user experience in smart spaces. Cybernetics and Systems, 41(2), 105–122.

    Article  MATH  Google Scholar 

  22. Yin, H., Cui, B., Chen, L., Hu, Z., & Huang, Z. (2014). A temporal context-aware model for user behavior modeling in social media systems. In Proceedings of the 2014 ACM SIGMOD international conference on management of data, SIGMOD’14 (pp. 1543–1554). New York, NY, USA: ACM.

  23. World wide web consortium. (2011). Html5 specification. http://www.w3.org/TR/html5/.

  24. Adobe systems inc. (2014). Phonegap. http://phonegap.com/.

  25. Yu, Z., Zhou, X., Hao, Y., & Gu, J. (2006). Tv program recommendation for multiple viewers based on user profile merging. User Modeling and User-Adapted Interaction, 16(1), 63–82.

    Article  Google Scholar 

Download references

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.

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhiwen Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xingshe Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chao Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bin Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhu Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3454-y

Keywords

Search

Navigation