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    WWW
    2006
    ACM
    148views Internet Technology» more  WWW 2006»
    A comparison of implicit and explicit links for web page classification
    14 years 8 months ago
    A comparison of implicit and explicit links for web page classification
    Download  www2006.org
    It is well known that Web-page classification can be enhanced by using hyperlinks that provide linkages between Web pages. However, in the Web space, hyperlinks are usually sparse...
    Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
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    WWW
    2005
    ACM
    156views Internet Technology» more  WWW 2005»
    On the lack of typical behavior in the global Web traffic network
    14 years 8 months ago
    On the lack of typical behavior in the global Web traffic network
    Download  informatics.indiana.edu
    We offer the first large-scale analysis of Web traffic based on network flow data. Using data collected on the Internet2 network, we constructed a weighted bipartite clientserver ...
    Mark Meiss, Filippo Menczer, Alessandro Vespignani
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    WWW
    2005
    ACM
    153views Internet Technology» more  WWW 2005»
    A personalized search engine based on web-snippet hierarchical clustering
    14 years 8 months ago
    A personalized search engine based on web-snippet hierarchical clustering
    Download  www.di.unipi.it
    In this paper we propose a hierarchical clustering engine, called SnakeT, that is able to organize on-the-fly the search results drawn from 16 commodity search engines into a hier...
    Paolo Ferragina, Antonio Gulli
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    KDD
    2009
    ACM
    192views Data Mining» more  KDD 2009»
    Learning optimal ranking with tensor factorization for tag recommendation
    14 years 8 months ago
    Learning optimal ranking with tensor factorization for tag recommendation
    Download  www.ismll.uni-hildesheim.de
    Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
    Steffen Rendle, Leandro Balby Marinho, Alexandros ...
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    MOBISYS
    2009
    ACM
    153views Computer Networks» more  MOBISYS 2009»
    Leveraging smart phones to reduce mobility footprints
    14 years 8 months ago
    Leveraging smart phones to reduce mobility footprints
    Download  www.research.rutgers.edu
    Mobility footprint refers to the size, weight, and energy demand of the hardware that must be carried by a mobile user to be effective at any time and place. The ideal of a zero m...
    Stephen Smaldone, Benjamin Gilbert, Nilton Bila, L...
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