WS34 Deep Learning in heterogenen Datenbeständen at Informatik 2017

Informatik is a congress organised by members of the TUC and VSR for the German Informatics Society (GI), the largest informatics association in the German-speaking world. Consortium partner ZBW presented two papers at the workshop on “Deep Learning in heterogenen Datenbeständen” by evaluating the impact of word embeddings in similarity scoring in practical information retrieval and by providing a recommender system with deep learning.