Scholar Inbox: Personalized Paper Recommendations for Scientists
Journal:
arXiv
Published Date:
Apr 11, 2025
Abstract
Scholar Inbox is a new open-access platform designed to address the
challenges researchers face in staying current with the rapidly expanding
volume of scientific literature. We provide personalized recommendations,
continuous updates from open-access archives (arXiv, bioRxiv, etc.), visual
paper summaries, semantic search, and a range of tools to streamline research
workflows and promote open research access. The platform's personalized
recommendation system is trained on user ratings, ensuring that recommendations
are tailored to individual researchers' interests. To further enhance the user
experience, Scholar Inbox also offers a map of science that provides an
overview of research across domains, enabling users to easily explore specific
topics. We use this map to address the cold start problem common in recommender
systems, as well as an active learning strategy that iteratively prompts users
to rate a selection of papers, allowing the system to learn user preferences
quickly. We evaluate the quality of our recommendation system on a novel
dataset of 800k user ratings, which we make publicly available, as well as via
an extensive user study. https://www.scholar-inbox.com/
