Open Science Recommendation Systems for Academic Libraries
An interdisciplinary academic team offers a comprehensive case study describing the development of a predictive model as the cornerstone for an open science recommendation system tailored to the Carnegie Mellon University community. This initiative will empower users in choosing open science service...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
UMass Chan Medical School, Lamar Soutter Library
2024-03-01
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| Series: | Journal of eScience Librarianship |
| Subjects: | |
| Online Access: | https://publishing.escholarship.umassmed.edu/jeslib/article/id/804/ |