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ESTHETE: a news browsing system to visualize the context and evolution of news stories

Published: 27 October 2013 Publication History

Abstract

Providing the history and context(s) of a news article that emerges in the middle of an evolving news story--sometimes multiple news stories--is a complex task. The complexity of the task is compounded by the fact that different users are interested in different contexts of the article, and it is impossible to guess what a particular user is most interested in. In this paper, we introduce ESTHETE, a system that provides rich context(s) (through what we call personalized flexible context extraction), by preprocessing and storing articles in a structured representation (directed graphs) that makes it easy for the user to explore different contexts. The advantage of this approach is that the incremental computational expense in incorporating new articles as they are published is minimal. Our system is available at: http://konfrap.com/esthete.

References

[1]
R. Choudhary, S. Mehta, A. Bagchi, and R. Balakrishnan. Towards characterization of actor evolution and interactions in news corpora. In ECIR, 2008.
[2]
D. Shahaf and C. Guestrin. Connecting the dots between news articles. In KDD, 2010.
[3]
D. Shahaf, C. Guestrin, and E. Horvitz. Trains of thought: generating information maps. In WWW, 2012.
[4]
I. Subasić and B. Berendt. Web mining for understanding stories through graph visualisation. In ICDM, 2008.
[5]
I. Subasić and B. Berendt. Story graphs: Tracking document set evolution using dynamic graphs. Intell. Data Anal, 17(1), 2013.

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  • (2014)News HeadlinesProceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 201410.1145/2662117.2662121(1-4)Online publication date: 9-Oct-2014

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    Published In

    cover image ACM Conferences
    CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
    October 2013
    2612 pages
    ISBN:9781450322638
    DOI:10.1145/2505515
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 October 2013

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    Author Tags

    1. entity topic exploration
    2. news browsing
    3. news story visualization

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    CIKM'13
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    CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
    October 27 - November 1, 2013
    California, San Francisco, USA

    Acceptance Rates

    CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;
    Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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    • (2014)News HeadlinesProceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 201410.1145/2662117.2662121(1-4)Online publication date: 9-Oct-2014

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