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Collective intelligence / Information retrieval / Collaborative filtering / Science / Information / HTTP cookie / GroupLens Research / Recommender systems / Information science / Social information processing


An Analysis of Recommender Algorithms for Online News Doychin Doychev, Aonghus Lawlor, Rachael Rafter, and Barry Smyth Insight Centre for Data Analytics, University College Dublin Belfield, Dublin 4, Ireland. {firstname.
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Document Date: 2014-07-25 04:51:02


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File Size: 992,45 KB

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City

Dublin / Berlin / Munich / Lucene / /

Company

Plista / Amazon / eBay / BBC / Malaysia Airlines / Google / /

Country

Ireland / /

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Facility

University College Dublin Belfield / /

IndustryTerm

online news recommendation / realtime online scenarios / online news recommendation challenge / online retail stores / recommendation algorithms / Online News Doychin Doychev / online challenge / online news providers / recommender systems / entity extraction services / online news recommendations / online home / recommender algorithms / online recommender algorithms / /

Organization

Barry Smyth Insight Centre for Data Analytics / /

Person

Rachael Rafter / Barry Smyth / /

Product

Tornado / AlchemyAPI / /

ProgrammingLanguage

Python / /

Technology

recommendation algorithms / JSON / load balancing / top-level domain / API / online recommender algorithms / 4 Recommendation Algorithms / content-based algorithms / Recommender Algorithms / /

SocialTag