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GreenMeter: a tool for assessing the quality and recommending tags for web 2.0 applications

Published: 24 July 2011 Publication History

Abstract

We present GreenMeter, a tool for assessing the quality and recommending tags for Web 2.0 content. Its goal is to improve tag quality and the effectiveness of various information services (e.g., search, content recommendation) that rely on tags as data sources. We demonstrate an implementation of GreenMeter for the popular Last.fm application.

References

[1]
F. Belém et al. Associative Tag Recommendation Exploiting Multiple Textual Features. In SIGIR, 2011.
[2]
G. Menezes et al. Demand-Driven Tag Recommendation. In PKDD, 2010.
[3]
B. Sigurbjörnsson and R. Zwol. Flickr Tag Recommendation based on Collective Knowledge. In WWW, 2008.

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  1. GreenMeter: a tool for assessing the quality and recommending tags for web 2.0 applications

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    cover image ACM Conferences
    SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
    July 2011
    1374 pages
    ISBN:9781450307574
    DOI:10.1145/2009916

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 July 2011

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    1. information quality
    2. tag recommendation

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    SIGIR '11
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