PEN RecSys: a personalized news recommender systems framework

Authors:
Florent Garcin;Boi Faltings
Affiliations:
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Venue:
Proceedings of the 7th ACM conference on Recommender systems
Year:
2013

Citing 2
Cited 1

Personalized news recommendation with context trees

Proceedings of the 7th ACM conference on Recommender systems
PEN RecSys: a personalized news recommender systems framework

Proceedings of the 7th ACM conference on Recommender systems

PEN RecSys: a personalized news recommender systems framework

Proceedings of the 7th ACM conference on Recommender systems

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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.