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Semantic Network-driven News Recommender Systems: a Celebrity Gossip Use Case Marco Fossati, Claudio Giuliano, and Giovanni Tummarello {fossati,giuliano,tummarello}@fbk.eu Fondazione Bruno Kessler, via Sommarive 18, 3812
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Document Date: 2012-09-18 08:49:44


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File Size: 964,65 KB

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City

Related Work Content / /

Company

Amazon / BBC News / None SRO / G GS GS GS GS GS SExp SRO / News Recommender Systems / RO SRO / G SExp SRO / /

Country

United States / /

Currency

USD / /

/

Facility

Freebase Processing Pipeline / Building Explanations / TMZ Processing Pipeline / /

IndustryTerm

online news / online news consumers / news portal / entity linking tools / natural language processing tasks / corpus processing / large / natural language processing techniques / recommender systems / actual web page / content processing techniques / online evaluation / Web interface / law.court.legal cases / knowledge base processing / recommendation algorithm / news information filtering tools / online evaluation approach / natural language processing text annotation techniques / news web portals / corpus processing phase / online news reading practice / Internet users / word sense disambiguation algorithm / hybrid systems / online reading practice leads / /

Person

Death / Michael Jackson / Brooke Shields / Bruno Kessler / Britney Spears / Jessica Simpson / John Mayer / Kurt Cobain / Lindsay Lohan / /

Position

product manager / editor / General / entanglements Judge / judge / /

Product

apache / /

ProgrammingLanguage

Java / XML / /

PublishedMedium

the TMZ news / /

Technology

XML / html / recommendation algorithm / natural language processing / word sense disambiguation algorithm / Java / machine learning system / RDF / /

URL

http /

SocialTag