Keenious is a resource recommender tool designed to aid in the identification and discovery of scholarly research. It analyzes writing from text documents and PDFs to recommend the most relevant articles and topics to explore using artificial intelligence combined with conventional search algorithms. It seamlessly integrates with library resources to minimize paywalls, and is freely available to all Carnegie Mellon affiliates. Keenious is available via a web browser for content uploads and text input, and can also be used as an add-on in Microsoft Word or Google Docs.
Users should first create an account using their @andrew.cmu.edu email address to ensure proper integration with CMU Libraries resources. Users accessing Keenious from the campus network should be recognized as affiliated with CMU.