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

Malte Ludewig
Malte Ludewig
Noemi Mauro
Noemi Mauro
Sara Latifi
Sara Latifi

Proceedings of the 13th ACM Conference on Recommender Systems, pp. 462-466, 2019.

Cited by: 15|Bibtex|Views14|Links
EI
Keywords:
evaluation reproducibility session-based recommendation

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments