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    WSDM
    2010
    ACM
    261views Data Mining» more  WSDM 2010»
    Learning Similarity Metrics for Event Identification in Social Media
    14 years 7 months ago
    Learning Similarity Metrics for Event Identification in Social Media
    Download  infolab.stanford.edu
    Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
    Hila Becker, Mor Naaman, Luis Gravano
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    INFOCOM
    2008
    IEEE
    147views Communications» more  INFOCOM 2008»
    Complex Network Measurements: Estimating the Relevance of Observed Properties
    14 years 4 months ago
    Complex Network Measurements: Estimating the Relevance of Observed Properties
    Download  www-rp.lip6.fr
    Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
    Matthieu Latapy, Clémence Magnien
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    ACL
    2008
    174views Computational Linguistics» more  ACL 2008»
    A Critical Reassessment of Evaluation Baselines for Speech Summarization
    13 years 11 months ago
    A Critical Reassessment of Evaluation Baselines for Speech Summarization
    Download  www.aclweb.org
    We assess the current state of the art in speech summarization, by comparing a typical summarizer on two different domains: lecture data and the SWITCHBOARD corpus. Our results ca...
    Gerald Penn, Xiaodan Zhu
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    WSDM
    2012
    ACM
    243views Data Mining» more  WSDM 2012»
    No search result left behind: branching behavior with browser tabs
    12 years 5 months ago
    No search result left behind: branching behavior with browser tabs
    Download  jeffhuang.com
    Today’s Web browsers allow users to open links in new windows or tabs. This action, which we call ‘branching’, is sometimes performed on search results when the user plans t...
    Jeff Huang, Thomas Lin, Ryen W. White
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    FLAIRS
    2009
    130views Artificial Intelligence» more  FLAIRS 2009»
    Analyzing Team Actions with Cascading HMM
    13 years 7 months ago
    Analyzing Team Actions with Cascading HMM
    Download  www.cs.umd.edu
    While team action recognition has a relatively extended literature, less attention has been given to the detailed realtime analysis of the internal structure of the team actions. ...
    Brandyn Allen White, Nate Blaylock, Ladislau B&oum...
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