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Found 3 papers, 2 papers with code
Empirical Analysis of Session-Based Recommendation Algorithms
However, previous research indicates that today's complex neural recommendation methods are not always better than comparably simple algorithms in terms of prediction accuracy.
Evaluation of Session-based Recommendation Algorithms
In many real-world applications, however, such long-term profiles often do not exist and recommendations therefore have to be made solely based on the observed behavior of a user during an ongoing session.
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation
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.
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