PROJECT
completed
FashionBrain
MISSION
The core goal of this project
Combined database management, data mining, machine learning and image-processing methods to help European fashion retailers understand customer demand, identify trend-setting influencers, and predict upcoming fashion trends.
Overview
Fashion retail has short product cycles and highly fragmented, multilingual data sources. FashionBrain built tools spanning data mining, entity recognition/linking, recommendation, and crowdsourcing to connect retailers with the right data and the right customers. At BHT, work centered on named-entity recognition and linking methods.
FUNDING BODY
European Union · Horizon 2020
GRANT ID
732328
PERIOD
2017–2019
PARTNERS
TEAM · CONTRIBUTORS
Researchers involved
PUBLICATION
Research output
-
2019
BigComp
Torsten Kilias, Alexander Löser, Felix A. Gers, Ying Zhang, Richard Koopmanschap, Martin Kersten