veyepar: Powering Recommendations with Distributed Computing using Python and MapReduce

Author(s):	Marcel Caraciolo
Location	Poster-3	10
Date	mar Sun 17	Days Raw Files
Start	09:03	First Raw Start	09:14
Duration	00:05:00	Offset	0:11:52
End	09:08	Last Raw End	09:39
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https://us.pycon.org/2013/schedule/presentation/148/
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Description:	It will present how to build scalable recommender systems with Map-Reduce Paradigm and Python (including the packages Crab, MrJob, Scipy and Numpy). Recommender Systems are systems that analyzes the user preferences in data format and estimate the items of interest for that user. It is applicable in several domains such as search, medicine, e-commerces and social networks. markdown
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