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    WWW
    2003
    ACM
    173views Internet Technology» more  WWW 2003»
    Mining the peanut gallery: opinion extraction and semantic classification of product reviews
    14 years 10 months ago
    Mining the peanut gallery: opinion extraction and semantic classification of product reviews
    Download  www.kushaldave.com
    The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
    Kushal Dave, Steve Lawrence, David M. Pennock
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    KDD
    2009
    ACM
    192views Data Mining» more  KDD 2009»
    Learning optimal ranking with tensor factorization for tag recommendation
    14 years 10 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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    KDD
    2009
    ACM
    174views Data Mining» more  KDD 2009»
    Audience selection for on-line brand advertising: privacy-friendly social network targeting
    14 years 10 months ago
    Audience selection for on-line brand advertising: privacy-friendly social network targeting
    Download  pages.stern.nyu.edu
    This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding ...
    Foster J. Provost, Brian Dalessandro, Rod Hook, Xi...
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    KDD
    2009
    ACM
    180views Data Mining» more  KDD 2009»
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    14 years 10 months ago
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    Download  www.research.rutgers.edu
    Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
    Sofus A. Macskassy
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    KDD
    2009
    ACM
    198views Data Mining» more  KDD 2009»
    Heterogeneous source consensus learning via decision propagation and negotiation
    14 years 10 months ago
    Heterogeneous source consensus learning via decision propagation and negotiation
    Download  www.cs.uiuc.edu
    Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
    Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
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