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conference paper not in proceedings
PEN recsys: a Personalized News Recommender Systems Framework (DEMO)
2013
We present the Personalized News (PEN) recommender systems framework, (Note that this paper is an extended abstract of Garcin2013b), 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.
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Name
Garcin_DM002.pdf
Type
Publisher's version
Access type
openaccess
Size
484.26 KB
Format
Adobe PDF
Checksum (MD5)
93ec4d3219ad399f5a8ff392f16cc1be