6.1k citations · 6.5k across the 16 of their papers we have counts for
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cs.IR2017★ 9 cited
An LSTM-Based Dynamic Customer Model for Fashion Recommendation
Sebastian Heinz, Christian Bracher, Roland Vollgraf
Online fashion sales present a challenging use case for personalized recommendation: Stores offer a huge variety of items in multiple sizes. Small stocks, high return rates, season…
cs.IR2016★ 35 cited
Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping
Christian Bracher, Sebastian Heinz, Roland Vollgraf
We present a method to determine Fashion DNA, coordinate vectors locating fashion items in an abstract space. Our approach is based on a deep neural network architecture that inges…