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

06/09/2016

∙

by   Ioannis Partalas, et al.

∙

0

∙

share

This report describes our participation in the cDiscount 2015 challenge where the 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 of the leaderboard and we were ranked 10th out of 175 participating teams. We followed a text classification approach employing mainly linear models. The final solution was a weighted voting system which combined a variety of trained models.