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Try bX – Scholarly Recommender Service via e-JULIA

“The Web, they say, is leaving the era of search and entering one of discovery. What’s the difference? Search is what you do when you’re looking for something. Discovery is when something wonderful that you didn’t know existed, or didn’t know how to ask for, finds you.” // Jeffrey M. O’Brien, “The race to create a ’smart’ Google”.

The University Library are testing a scholarly recommender for articles, bX, via e-JULIA during October.

bX is a new service that taps into the power of the networked scholarly community to generate recommendations bases on article usage. This is done by aggregating usage data across libraries and scholarly information environments.

What this means is that when you find an article and use the library e-JULIA service you might find recommendations for similar articles. By clicking on the e-JULIA link for a related article you can find out more about it, perhaps it is available in full text or you can request it by inter library loan.

The bX service derives from research done at Los Alamos National Laboratory by Johan Bollen and Herbert Van de Sompel. The initial usage data was gathered with the support of Boston College (USA), British Library (UK), California State University (USA), Catholic University of Leuven (Belgium), Charles University (Czechia), ETH (Switzerland), FineLib (Finland), Imperial College (UK), Karolinska Institute (Sweden), Monash University (Australia), Princeton University (USA), Tsinghua University (China), University of Alberta (Canada), University of Amsterdam (Netherlands), University of Chicago (USA), University College London (UK), University of Manchester (UK), University of Texas at Austin (USA), University of Leiden (Netherlands) and University of Stellenbosch (South Africa). The service and data continues to grow as more libraries use the service.

The university library (and you!) are now testing the bX recommender service for the duration of October.

Please let us know what you think of this service and if you think we should continue with it after October! Here is a sample recommendation if you want to have closer look right away. But you could find article recommendations from any service or database where you see the e-JULIA link or button.

“It’s Amazon meets JSTOR” – Endrina Tay, Thomas Jefferson Foundation

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