| Document Date: 2013-02-12 08:11:17
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City Washington / DC / Pittsburgh / Toronto / New York / / Company Google / / / Facility Nokogiri library / Georgetown University / / IndustryTerm natural language generation algorithm / famous site / open Web / search engine‟s / Web Search Results / search engines / Web search engines / resource merging algorithm / Web resources / search engine indicating / geographical search capability / search engine / / MarketIndex set 10 / / Organization Department of Linguistics / Department of Computer Science / Lincoln Center / Georgetown University Washington / Georgetown University / IDF / / / Position representative / / Product Nokogiri / SVMRank / Yelp / / ProgrammingLanguage DC / / ProvinceOrState New York / / Region mediterranean / / Technology Knowledge Management / natural language generation algorithm / relational database / Data Mining / search engine / resource merging algorithm / / URL http /
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(Not Too) Personalized Learning to Rank for Contextual Suggestion Andrew Yates1, Dave DeBoer1, Hui Yang1, Nazli Goharian1, Steve Kunath2, Ophir Frieder1 1 Department of Computer Science, Georgetown University 2