Earlier this year, Jim Hahn & I published an article, “Account-based recommenders in open discovery environments” in Digital Library Perspectives – it is of course findable through the publisher’s site via https://doi.org/10.1108/DLP-07-2017-0022, but it’s also openly available through both the Indiana U and U of Illinois open repository sites.
Since this is my blog, I’m going to point you to my copy of the article 😃 – available via IU Scholarworks Open.
I shall try and tempt you with the big finish of our abstract:
… 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.
I’ve been acquainted with Jim since my I-Share days, and he’s been a marvelous colleague and a great collaborator, in addition to being super smart. If our article is of interest, do definitely take the time to read about the cool stuff he and his team have done with Minrva.
I also want to give a shout out to the amazing work of my former colleagues in the IUB Libraries’ Scholarly Communication department. Since IU Bloomington’s Faculty Council passed an Open Access Policy in February 2017, they’ve been hard at work to launch a number of new services to support open scholarship & research on the Bloomington campus, including IU Scholarworks Open, a repository that will enable discovery of and access to faculty research output that falls within the scope of the OA policy. Read more at their site: https://openscholarship.indiana.edu/
Furthermore, I want to acknowledge the assistance and advice of Naz Pantaloni, Copyright Program Librarian. He generously gave of his time and expertise to help me as I worked with the publisher to negotiate rights. As a direct result of his support, we were able to retain full rights to our article – which is why I am able to openly share it today and in perpetuity. Thanks, Naz!