Powering Recommendations with Distributed Computing using Python and MapReduce

Authors: Caraciolo, Marcel; Atapassar

Track: Posters

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.