University libraries hold vast collections of scholarly work, yet most academic books are borrowed only a handful of times each year. A study published in the International Journal of Information and Communication Technology suggests that the problem lies less in library logistics than in the lack of a sophisticated recommendation system available to readers. The team behind the research have come up with a new approach to library recommendation systems that replaces the static models with an approach that adapts to the readers’ changing learning needs.
Personalized library model adapts book recommendations to readers’ changing knowledge
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