The Caltech Library has subscribed to a new research tool called Keenious. Keenious makes recommendations for further reading based either existing text or PDF documents using a variety of techniques, including a language model to incorporate semantics of the texts and topics. Keenious is a very different type of search tool than you might be used to. With Keenious, you use your current document as an input into the search, compared to using just keywords as done in traditional search engines. Access the Keenious Help Center.

This article provides a brief overview of how Keenious works. 

This article describes some of the main features of the tool.

The video on this page provides a very useful orientation in about 7 minutes.

Here are some libguides:

• CMU

• University of Canterbury

• University of Helsinki: 

This article, in the Journal of eScience Librarianship, discusses the implementation of Keenious at Carnegie Mellon University, including "the nature of AI-based tools when compared with traditional library resources, including ethical questions surrounding data privacy, algorithmic transparency, and the impact on the research process." 

Keenious offers introductory webinars for users with no experience.