Malte Ludewig

When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation

2017

Deep learning methods have led to substantial progress in various application fields of AI, and in recent years a number of proposals were made to improve recommender systems with artificial neural networks. For the problem …

Performance comparison of neural and non-neural approaches to session-based recommendation

2019

The benefits of neural approaches are undisputed in many application areas. However, today's research practice in applied machine learning---where researchers often use a variety of baselines, datasets, and evaluation procedures---can make it difficult to understand …