Discover personalized research recommendations from 120+ million scientific papers, leveraging AI and machine learning for a deeper understanding of connections between concepts across disciplines.
Sparrho is an AI-powered research discovery platform designed to help scientists and researchers stay on top of the latest developments in their field. It provides personalized recommendations of newly published research papers that may be of interest, based on an individual's areas of expertise, interests, and previous readings.
Sparrho utilizes advanced machine learning algorithms to read, comprehend and connect over 120 million abstracts from scientific papers published in over 30,000 journals. By understanding concepts and identifying relationships between them across disciplines, Sparrho can uncover relevant papers that a researcher may otherwise miss.
After creating a free account, users can follow topics of interest and get weekly or daily recommendations in their personalized feed. The platform analyzes each new paper added to its database to identify possible connections to a user's field and interests. Users can also search for papers and concepts of interest.
Key features and benefits of Sparrho include:
By leveraging the power of big data, machine learning and natural language processing, Sparrho aims to support researchers by ensuring they do not miss critical developments, enabling discoveries and saving time on finding relevant research.