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Recommender systems / Social information processing / Collaboration / Information systems / Cold start / Collaborative filtering / Cluster analysis / HTTP cookie / Web portal / Statistics / Collective intelligence / Information science


Optimizing and Evaluating Stream-based News Recommendation Algorithms Sebastian Werner1 and Andreas Lommatzsch2 1 2
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Document Date: 2014-07-25 04:50:00


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File Size: 1,44 MB

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City

Evaluating Stream / /

Company

News Recommendation Algorithms Sebastian Werner1 / Amazon / REDDIT / YouTube YouTube / Netflix / Andreas Lommatzsch2 1 2 Database Systems / /

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IndustryTerm

recommender algorithm / news portal / news recommender algorithms / web applications / user-based collaborative filtering algorithms / real-time news recommendation / tested recommender algorithms / online challenge / online contest / given hardware / defined hardware / online testing / offline test server / web portal / recommender systems / internet platform / online evaluation / offline processing results / recommender algorithms / recommended systems / selected recommender algorithm / recommendation algorithm / collaborative filtering algorithms / implemented recommender algorithms / web traffic / maximal algorithm / video portal / news recommendation systems / Real-time stream-based recommender systems / news algorithms / pre-processing / news portals / offline testing server / /

Position

head / /

PublishedMedium

The PLISTA news / /

Technology

virtual machine / implemented algorithm / RAM / Germany sebastian.werner@campus.tu-berlin.de Agent Technologies / JSON / recommender algorithm / collaborative filtering algorithms / recommender algorithms / recommendation algorithm / three recommender algorithms / tested recommender algorithms / 4.1 Recommender Algorithms / evaluating news recommender algorithms / implemented recommender algorithms / user-based collaborative filtering algorithms / maximal algorithm / news algorithms / randomly selected recommender algorithm / /

URL

http /

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