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Affinity Strings: Enterprise data for resource recommendations

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Affinity Strings: Enterprise data for resource recommendations

Published Date

2008-12-15

Publisher

Code4Lib Journal

Type

Article

Abstract

'The University of Minnesota Libraries have created a MyLibrary portal, with databases and e-journals targeted to users, based on their affiliations. The University's enterprise authentication system provides an "affinity string", now used to personalize the MyLibrary portal. This affinity string automates discovery of a user's relationship to the University--describing a user’s academic department and degree program or position at the University. Affinity strings also provide the Libraries with an anonymized view of resource usage, allowing data collection that respects users' privacy and lays the groundwork for automated recommendation of relevant resources based on the practices and habits of their peers.'

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Previously Published Citation

Cody Hanson, Shane Nackerud, Kristi Jensen. “Affinity Strings: Enterprise Data for Resource Recommendations.” The Code4Lib Journal 15 Dec 2008. 13 Jan 2009 <http://journal.code4lib.org/articles/501>.

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Suggested citation

Hanson, Cody; Nackerud, Shane; Jensen, Kristi. (2008). Affinity Strings: Enterprise data for resource recommendations. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/46576.

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