Etymo: A New Discovery Engine for AI Research
This tool addresses the problem of information overload for AI researchers and developers, though it is incremental as it builds on existing search and recommendation methods.
The authors tackled the challenge of navigating the large volume of AI research papers by developing Etymo, a discovery engine that uses a novel similarity-based network for search, ranking, and visualization, resulting in a tool that adapts to user feedback.
We present Etymo (https://etymo.io), a discovery engine to facilitate artificial intelligence (AI) research and development. It aims to help readers navigate a large number of AI-related papers published every week by using a novel form of search that finds relevant papers and displays related papers in a graphical interface. Etymo constructs and maintains an adaptive similarity-based network of research papers as an all-purpose knowledge graph for ranking, recommendation, and visualisation. The network is constantly evolving and can learn from user feedback to adjust itself.