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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.


Why use Keenious?

  • Explore and learn new concepts relevant to your research
  • Find references to specific parts of your assignment
  • Get a quick overview of available, relevant research on your topic
  • Assist in cross-disciplinary research
  • When you suspect there is no existing research on your topic, or it is difficult to find.

Account setup, access, and plugins

Users should first create an account using their email address to ensure proper integration with CMU Libraries resources. Users accessing Keenious from the campus network should be recognized as affiliated with CMU.