Article

Detecting web page structure for adaptive viewing on small form factor devices

Authors:

Hong-Jiang ZhangAuthors Info & Claims

WWW '03: Proceedings of the 12th international conference on World Wide Web

Pages 225 - 233

https://doi.org/10.1145/775152.775184

Published: 20 May 2003 Publication History

Abstract

Mobile devices have already been widely used to access the Web. However, because most available web pages are designed for desktop PC in mind, it is inconvenient to browse these large web pages on a mobile device with a small screen. In this paper, we propose a new browsing convention to facilitate navigation and reading on a small-form-factor device. A web page is organized into a two level hierarchy with a thumbnail representation at the top level for providing a global view and index to a set of sub-pages at the bottom level for detail information. A page adaptation technique is also developed to analyze the structure of an existing web page and split it into small and logically related units that fit into the screen of a mobile device. For a web page not suitable for splitting, auto-positioning or scrolling-by-block is used to assist the browsing as an alterative. Our experimental results show that our proposed browsing convention and developed page adaptation scheme greatly improve the user's browsing experiences on a device with a small display.

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Ren BQian ZSun YGao CZhang C(2024)WebSAM-Adapter: Adapting Segment Anything Model for Web Page SegmentationAdvances in Information Retrieval10.1007/978-3-031-56027-9_27(439-454)Online publication date: 20-Mar-2024
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Index Terms

Detecting web page structure for adaptive viewing on small form factor devices

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Published In

cover image ACM Conferences

WWW '03: Proceedings of the 12th international conference on World Wide Web

May 2003

772 pages

ISBN:1581136803

DOI:10.1145/775152

Conference Chairs:
Gusztáv Hencsey
MTA SZTAKI, Hungary
,
Bebo White
Stanford Linear Accelerator Center, USA
,
Program Chairs:
Yih-Farn Robin Chen
AT&T Labs -- Research, USA
,
László Kovács
MTA SZTAKI, Hungary
,
Steve Lawrence
Google Inc., USA

Copyright © 2003 ACM.

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Published: 20 May 2003

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Cited By

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https://doi.org/10.1109/WACV57701.2024.00107
Ren BQian ZSun YGao CZhang C(2024)WebSAM-Adapter: Adapting Segment Anything Model for Web Page SegmentationAdvances in Information Retrieval10.1007/978-3-031-56027-9_27(439-454)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-3-031-56027-9_27
Intumwayase JFouad ILaperdrix PRouvoy RKnijnenburg BPapadimitratos P(2023)UA-Radar: Exploring the Impact of User Agents on the WebProceedings of the 22nd Workshop on Privacy in the Electronic Society10.1145/3603216.3624958(31-43)Online publication date: 26-Nov-2023
https://dl.acm.org/doi/10.1145/3603216.3624958
Shi DCui WHuang DZhang HCao N(2023)Reverse-engineering information presentations: recovering hierarchical grouping from layouts of visual elementsVisual Intelligence10.1007/s44267-023-00010-11:1Online publication date: 15-Jun-2023
https://doi.org/10.1007/s44267-023-00010-1
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Alli M(2021)Content-Determined Web Page Segmentation and Navigation for Mobile Web SearchingResult Page Generation for Web Searching10.4018/978-1-7998-0961-6.ch007(88-108)Online publication date: 2021
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Mousas CKrogmeier CWang Z(2021)Photo Sequences of Varying Emotion: Optimization with a Valence-Arousal Annotated DatasetACM Transactions on Interactive Intelligent Systems10.1145/345884411:2(1-19)Online publication date: 21-Jul-2021
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