Publication

PEN recsys: a Personalized News Recommender Systems Framework

Boi Faltings, Florent Frédéric Garcin
2013
Conference Papers

Abstract

We present the Personalized News (PEN) recommender systems framework, currently in use by a newspaper website to evaluate various algorithms for news recommendations. We briefly describe its system architecture and related components. We show how a researcher can easily evaluate different algorithms thanks to a web-based interface. Finally, we discuss important factors to take into account when conducting online evaluation, and report on our experience when deploying recommendations on a live-traffic website.

Official source

https://infoscience.epfl.ch/entities/publication/854a2cf6-5bcc-4d0c-aae0-8e91d6477dac

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PEN recsys: a Personalized News Recommender Systems Framework

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