most citedScaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions

20 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

2 papers

cs.IR2024★ 3 cited

Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems

Timo Wilm, Philipp Normann, Felix Stepprath

This work introduces MultiTRON, an approach that adapts Pareto front approximation techniques to multi-objective session-based recommender systems using a transformer neural networ…

cs.IR2023★ 20 cited

Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions

Timo Wilm, Philipp Normann, Sophie Baumeister +1

This work introduces TRON, a scalable session-based Transformer Recommender using Optimized Negative-sampling. Motivated by the scalability and performance limitations of prevailin…