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ICML Exploration & Exploitation challenge: Keep it simple!
Abstract : Recommendation has become a key feature in the economy of a lot of companies (online shopping, search engines...). There is a lot of work going on regarding recommender systems and there is still a lot to do to improve them. Indeed nowadays in many companies most of the job is done by hand. Moreover even when a supposedly smart recommender system is designed, it is hard to evaluate it without using real audience which obviously involves economic issues. The ICML Exploration & Exploitation challenge is an attempt to make people propose efficient recommendation techniques and particularly focuses on limited computational resources. The challenge also proposes a framework to address the problem of evaluating a recommendation algorithm with real data. We took part in this challenge and achieved the best performances; this paper aims at reporting on this achievement; we also discuss the evaluation process and propose a better one for future challenges of the same kind.
Cited literature [5 references]
https://hal.inria.fr/hal-00747725
Contributor : Preux Philippe <>
Submitted on : Thursday, November 8, 2012 - 3:23:06 PM
Last modification on : Thursday, December 3, 2020 - 4:56:03 PM
Long-term archiving on: : Saturday, December 17, 2016 - 7:00:03 AM
Contributor : Preux Philippe <>
Submitted on : Thursday, November 8, 2012 - 3:23:06 PM
Last modification on : Thursday, December 3, 2020 - 4:56:03 PM
Long-term archiving on: : Saturday, December 17, 2016 - 7:00:03 AM
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nicol12a.pdf
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