As part of the TRIPLE EU project (Horizon 2020 programme), we developed various recommendation algorithms to enhance a research artifacts platform, providing tailored suggestions for documents, projects and publications. Our aim was to support users by offering relevant recommendations, thereby enriching their research experience. We implemented collaborative filtering, content-based, and hybrid algorithms to ensure personalized and pertinent suggestions. This approach helped users discover research materials aligned with their interests and needs, boosting engagement and productivity. Our work significantly contributed to the platform's overall utility and success.

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