  This companion paper supports the replication of the fashion trend
forecasting experiments with the KERN (Knowledge Enhanced Recurrent Network)
method that we presented in the ICMR 2020. We provide an artifact that allows
the replication of the experiments using a Python implementation. The artifact
is easy to deploy with simple installation, training and evaluation. We
reproduce the experiments conducted in the original paper and obtain similar
performance as previously reported. The replication results of the experiments
support the main claims in the original paper.
