What is it about?
This article details the development of a Netflix-like browse recommender system for library accounts.
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Why is it important?
The browse paradigm of discovery has neglected to leverage discovery system data to inform the development of personalized recommendations; with this paper, the authors show novel approaches to providing enhanced browse functionality by way of a user account.
Perspectives
In the age of big data and machine learning, advances in deep learning technology and data stream processing make it possible to leverage discovery system data to inform the development of personalized recommendations.
Jim Hahn
University of Illinois at Urbana-Champaign
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This page is a summary of: Account-based recommenders in open discovery environments, Digital Library Perspectives, February 2018, Emerald,
DOI: 10.1108/dlp-07-2017-0022.
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