PEN recsys: a Personalized News Recommender Systems Framework

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.


Presented at:
News Recommender Systems Workshop (NRS 2013), Hong Kong, China
Year:
2013
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 Record created 2013-11-12, last modified 2018-03-17

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