90 citations · 143 across the 6 of their papers we have counts for
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stat.ML2018★ 4 cited
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products
Ângelo Cardoso, Fabio Daolio, Saúl Vargas
In this paper, we describe a solution to tackle a common set of challenges in e-commerce, which arise from the fact that new products are continually being added to the catalogue.…
stat.ML2017★ 27 cited
Generalising Random Forest Parameter Optimisation to Include Stability and Cost
C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little +1
Random forests are among the most popular classification and regression methods used in industrial applications. To be effective, the parameters of random forests must be carefully…