Giovanni Trappolini

A Reproducible Analysis of Sequential Recommender Systems

2024 · arXiv (Cornell University)

Sequential Recommender Systems (SRSs) have emerged as a highly efficient approach to recommendation systems. By leveraging sequential data, SRSs can identify temporal patterns in user behaviour, significantly improving recommendation accuracy and relevance.Ensuring the reproducibility of …