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Web 2.0 / Social information processing / Information retrieval / Social bookmarking / Tag / Recommender system / Folksonomy / Cold start / Collaborative filtering / Collective intelligence / Information / World Wide Web


Social Tagging Recommender Systems Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert J¨aschke, Andreas Hotho, Gerd Stumme, and Panagiotis Symeonidis Abstract The new generation of Web application
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Document Date: 2015-04-09 16:46:04

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File Size: 502,97 KB

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Company

Last.fm / Amazon / Social Tagging Recommender Systems / de/ Social Tagging Recommender Systems / Social Tagging Systems / Lars Schmidt-Thieme Information Systems / Knowledge & Data Engineering Group / Real World Social Tagging Recommender Systems / Recommender Systems / /

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Facility

Aristotle University / University of Kassel / University of Kassel7 / University of Hildesheim / /

IndustryTerm

online computation / recommender services / Web applications / recommendation algorithm / well known applications / recommendation algorithms / resource recommendation services / digitization devices / online connections / software applications / online lies / e - commerce / tagaware algorithms / data mining algorithms / online setting / external recommendation services / graph/contentbased algorithms / be generated using data mining algorithms / /

Organization

University of Hildesheim / uni-kassel.de Panagiotis Symeonidis Department of Informatics / University of Kassel7 / Aristotle University / Schmidt-Thieme Information Systems and Machine Learning Lab / University of Kassel / /

Person

Panagiotis Symeonidis / Andreas Hotho / Leandro Balby Marinho / Lars Schmidt-Thieme / /

Technology

recommendation algorithms / recommendation algorithm / graph/contentbased algorithms / tagaware algorithms / item-based CF algorithms / using data mining algorithms / Machine Learning / AJAX / /

URL

http /

SocialTag