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This report describes our participation in the cDiscount 2015 challenge wherethe goal was to classify product items in a predefined taxonomy of products.Our best submission yielded an accuracy score of 64.20\% in the private part ofthe leaderboard and we were ranked 10th out of 175 participating teams. Wefollowed a text classification approach employing mainly linear models. Thefinal solution was a weighted voting system which combined a variety of trainedmodels.

e-Commerce product classification: our participation at cDiscount 2015 challenge