Performance comparison of neural and non-neural approaches to session-based recommendation
Proceedings of the 13th ACM Conference on Recommender Systems, pp. 462-466, 2019.
evaluation reproducibility session-based recommendation
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 how much progress is actually achieved through novel technical approaches...More
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