Boosting Sequential Recommendation: Leveraging ID-Text Complementarity

This research explores a novel approach to sequential recommendation by combining user and item identifiers with textual information. The ensembling method likely aims to improve recommendation accuracy and user experience.

• •Focuses on improving sequential recommendation systems.
• •Employs an ensembling method to exploit ID-Text complementarity.
• •The research originates from the ArXiv repository, suggesting early-stage findings.