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Software / Collective intelligence / Information systems / Web 2.0 / Social media / Recommender system / Collaborative filtering / Social networking service / Internet privacy / World Wide Web / Computing / Social information processing


Social Affinity Filtering Recommendation through Fine-grained Analysis of User Interactions and Activities Suvash Sedhain Scott Sanner
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Document Date: 2013-09-06 02:49:54

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File Size: 3,36 MB

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City

Boston / /

Company

Aeon / Twitter / Youtube / Facebook / /

Country

United States / Australia / /

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USD / /

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Facility

Australian National University / /

IndustryTerm

online message cascades / online ads / online interactions / collaborative filtering algorithms / social collaborative filtering algorithm / online training algorithms / web browser / contact network / friend network / web search / recommender systems / social networks / social recommender systems / non-social collaborative filtering algorithms / social network / cross-product / ego network / /

MusicAlbum

Sports / /

Organization

Magician’s Guild / Harvard Debate Club / U.S. Securities and Exchange Commission / Australian National University / Stanford / /

Person

Johnny Roadkill Breaking Bad Timon / John Lennon / Peter Christen / Constant Predictor (Const) / Beyonce / Stanford Thai / Scott Sanner Lexing Xie / Riley Kidd / /

Position

Official / Ranger / singer / demons Magician / /

ProgrammingLanguage

DC / /

ProvinceOrState

Massachusetts / /

Technology

social collaborative filtering algorithm / approved Ethics Protocol / SAF algorithms / non-social collaborative filtering algorithms / API / collaborative filtering algorithms / online training algorithms / /

URL

http /

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