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conference paper
PEN recsys: a Personalized News Recommender Systems Framework
2013
NRS '13: Proceedings of the 2013 International News Recommender Systems Workshop and Challenge
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.
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Name
nrs13.pdf
Type
Publisher's version
Access type
openaccess
Size
1.31 MB
Format
Adobe PDF
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