Scholar Inbox: Personalized Paper Recommendations for Scientists
The paper presents Scholar Inbox, a new open-access platform providing personalized paper recommendations and research tools for scientists. Utilizing a content-based model trained on a large dataset of explicit user ratings, the platform aims to combat information overload and improve research efficiency. A comprehensive evaluation, including a large user study, demonstrates high user satisfaction and retention, though the system's ability to explicitly model multiple diverse research interests is still an area for future improvement.