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Powering Recommendations with Distributed Computing using Python and MapReduce
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pycon2013
--room Poster3 2209 --force
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Marks
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
Chapters
Total cuts_time
None min.
https://us.pycon.org/2013/schedule/presentation/148/
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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.
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