A Reproducible Analysis of Sequential Recommender Systems

A Reproducible Analysis of Sequential Recommender Systems

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 these mode...

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Bibliographic Details
Main Authors: Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Recommendation
sequential recommendation
reproducibility
replicability
resource
Online Access:https://ieeexplore.ieee.org/document/10813337/
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https://ieeexplore.ieee.org/document/10813337/

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