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Characterizing high-impact features for content retention in social web applications

Published: 07 April 2014 Publication History

Abstract

One of the core challenges of automatically creating Social Web summaries is to decide which posts to remember, i.e., to consider for summary inclusion and which to forget. Keeping everything would overwhelm the user and would also neglect the often intentionally ephemeral nature of Social Web posts. In this paper, we analyze high-impact features that characterize memorable posts as a first step for this selection process. Our work is based on a user evaluation for discovering human expectations towards content retention.

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  1. Characterizing high-impact features for content retention in social web applications

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    Published In

    cover image ACM Other conferences
    WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
    April 2014
    1396 pages
    ISBN:9781450327459
    DOI:10.1145/2567948

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    • IW3C2: International World Wide Web Conference Committee

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 April 2014

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    Author Tags

    1. content retention
    2. feature analysis
    3. managed forgetting
    4. social web application

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    WWW '14
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    • IW3C2

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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