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Adapting web pages using graph partitioning algorithms for user-centric multi-device web browsing

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Abstract

In the era of ubiquitous computing, applications are emerging to benefit from using devices of different users and different capabilities together. This paper focuses on user-centric web browsing using multiple devices, where content of a web page is partitioned, adapted and allocated to devices in the vicinity. We contribute two novel web page partitioning algorithms. They differ from existing approaches by allowing for both, automatic and semi-automatic partitioning. On the one hand, this provides good automatic, web page independent results by utilizing sophisticated structural pre- and postprocessing of the web page. On the other hand, these results can be improved by considering additional semantic information provided through user-generated web page annotations. We further present a performance evaluation of our algorithms. Moreover, we contribute the results of a user study. These clearly show that (1) our algorithms provide good automatic results and (2) the application of user-centric, annotation-based semantic information leads to a significantly higher user satisfaction.

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Notes

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  2. Proof omitted in this version due to space limitations.

  3. http://maps.google.de/maps?output=html&q=heidelberg

  4. http://www.101cookbooks.com/pies_and_tarts

  5. http://reiseauskunft.bahn.de

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Authors and Affiliations

  1. Technische Universität Darmstadt, Hochschulstraße 10, 64289, Darmstadt, Germany

    Jochen Huber

  2. RIB Software AG, 9 Temasek Boulevard, 31st Floor Suntec Tower Two, Singapore, 038989, Singapore

    Yun Ding

Authors
  1. Jochen Huber
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  2. Yun Ding
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Correspondence to Jochen Huber.

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Huber, J., Ding, Y. Adapting web pages using graph partitioning algorithms for user-centric multi-device web browsing. Multimed Tools Appl 62, 209–231 (2013). https://doi.org/10.1007/s11042-011-0980-1

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  • DOI: https://doi.org/10.1007/s11042-011-0980-1

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