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Conference Papers Journal of Machine Learning Research Year : 2012

ICML Exploration & Exploitation challenge: Keep it simple!

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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.
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Dates and versions

hal-00747725 , version 1 (08-11-2012)

Identifiers

  • HAL Id : hal-00747725 , version 1

Cite

Olivier Nicol, Jérémie Mary, Philippe Preux. ICML Exploration & Exploitation challenge: Keep it simple!. Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, Jul 2011, Bellevue, Washington, United States. pp.62-85. ⟨hal-00747725⟩
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