Using the Keenious AI Research Recommendation Tool – Perspectives of an Academic Librarian
<p dir="ltr">This poster outlines the Keenious AI-powered research recommendation tool and describes how it was rolled out to campus using a combination of marketing and in-class instruction. Keenious draws on Open Alex, an open bibliographic catalogue of scientific papers, to provid...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| منشور في: |
2025
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | <p dir="ltr">This poster outlines the Keenious AI-powered research recommendation tool and describes how it was rolled out to campus using a combination of marketing and in-class instruction. Keenious draws on Open Alex, an open bibliographic catalogue of scientific papers, to provide users with suggestions of what to read, based on text input by users. Students and researchers alike may find the tool useful: it allows users to access information such as journal articles, whilst avoiding the ethical implications of generative AI as well as the sometimes-high barriers to entry of a traditional library website/search.</p><h2>Other Information</h2><p dir="ltr">Poster was presented at: Libraries Thriving Together in an Open Ecosystem <a href="https://www.qnl.qa/en/libraries-lead-forum-2025" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025</a><br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>Conference information: Libraries Lead Forum 2025 <a href="https://www.qnl.qa/en/libraries-lead-forum-2025/agenda" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025/agenda</a></p> |
|---|