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Markov models / Mathematics / Crowdsourcing / PageRank / Reputation management / Search engine optimization / Tree / Connectivity / Random walk / Graph theory / Statistics / Link analysis


Querying Provenance for Ranking and Recommending Zachary G. Ives Andreas Haeberlen Tao Feng Computer and Information Science Department University of Pennsylvania {zives,ahae,fengtao}@cis.upenn.edu
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Document Date: 2012-05-19 12:34:09


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Company

Google / YouTube / /

/

Facility

Information Science Department University of Pennsylvania / /

IndustryTerm

keyword search system / Random walk algorithms / random walk-based algorithms / search terms / computing / Web graphs / link analysis algorithms / community portal / recommendation applications / keyword search / /

Organization

Carnegie Mellon University / National Science Foundation / University of Pennsylvania / Introduction Wolfgang Gatterbauer Tepper School / Stanford / /

Person

A. Balmin / V / Stanford InfoLab / K. Jain / V / Zachary G. Ives Andreas Haeberlen Tao / /

Position

surfer / random surfer / programmer / /

Product

PageRank / /

ProgrammingLanguage

XML / Datalog / /

ProvinceOrState

Pennsylvania / /

Technology

XML / random walk-based algorithms / PageRank algorithm / The PageRank algorithm / link analysis algorithms / Random walk algorithms / /

URL

www.ieeg.org / /

SocialTag