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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri
التنسيق: مقال
اللغة:English
منشور في: IEEE 2025-01-01
سلاسل:IEEE Access
الموضوعات:
Recommendation
sequential recommendation
reproducibility
replicability
resource
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10813337/

الانترنت

https://ieeexplore.ieee.org/document/10813337/

مواد مشابهة