Abstract
Recommender systems are useful tools for adding a reference component
to a library catalog, and they help develop library catalogs that
serve as customer-oriented portals, deploying Web 2.0 technology.
Recommender systems are based on statistical models, and they can
lead users from one record to similar literature held in the catalog.
In this article we describe the recommender system BibTip, developed
in Karlsruhe University, and we discuss its application in libraries.
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