research-article

Entropy based content filtering for Mobile Web Page Adaptation

Authors:

Sanjay Kumar Sharma,

Amit Prakash SinghAuthors Info & Claims

WCI '15: Proceedings of the Third International Symposium on Women in Computing and Informatics

Pages 588 - 594

https://doi.org/10.1145/2791405.2791470

Published: 10 August 2015 Publication History

Abstract

A global increase in the usage of mobile devices and the availability of internet services on the phone has increased the usage of internet on these devices. However, these devices face a major challenge of limited screen space, less bandwidth and processing capability. A majority of the website are designed to be viewed on PCs, Desktop etc. Hence mobile Internet user finds it difficult to browse the web page. In this paper we present an approach to filter the informative web page content and rearrange it on the available screen space of mobile device. In this process the web page is segmented into visual blocks and then the entropy measure of each visual block is computed in terms of content entropy and feature entropy. The model is trained using neural network classifier to segregate main content and noise content.

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Cited By

Narwal N(2020)Web page filtering for kidsInternational Journal of Information Technology10.1007/s41870-020-00474-0Online publication date: 19-May-2020
https://doi.org/10.1007/s41870-020-00474-0
Narwal NSharma SSingh A(2017)Web content adaptation using 2D bin packing algorithmInternational Journal of Information Technology10.1007/s41870-017-0019-69:2(139-146)Online publication date: 7-Jun-2017
https://doi.org/10.1007/s41870-017-0019-6

Index Terms

Entropy based content filtering for Mobile Web Page Adaptation
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
2. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

cover image ACM Other conferences

WCI '15: Proceedings of the Third International Symposium on Women in Computing and Informatics

August 2015

763 pages

ISBN:9781450333610

DOI:10.1145/2791405

Editor:
Indu Nair
SCMS, Kochi, India
,
General Chairs:
Sushmita Mitra
Indian Statistical Institute, Kolkata, India
,
Ljiljana Trajković
Simon Fraser University, Canada
,
Program Chairs:
Punam Bedi
University of Delhi, India
,
Suzanne McIntosh
New York University and Cloudera Inc., USA
,
M. S. Rajasree
IIITM-K, Trivandrum, India

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 August 2015

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WCI '15

WCI '15: Third International Symposium on Women in Computing and Informatics

August 10 - 13, 2015

Kochi, India

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WCI '15 Paper Acceptance Rate 98 of 452 submissions, 22%;

Overall Acceptance Rate 98 of 452 submissions, 22%

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Cited By

Narwal N(2020)Web page filtering for kidsInternational Journal of Information Technology10.1007/s41870-020-00474-0Online publication date: 19-May-2020
https://doi.org/10.1007/s41870-020-00474-0
Narwal NSharma SSingh A(2017)Web content adaptation using 2D bin packing algorithmInternational Journal of Information Technology10.1007/s41870-017-0019-69:2(139-146)Online publication date: 7-Jun-2017
https://doi.org/10.1007/s41870-017-0019-6

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