The University Library is please to announce that it has recently extended its trial of the bX™ article recommendation service with a one year subscription.
bX™ Recommender is a service offered by our software supplier 'Ex Libris'. It enables discovery of other relevant journal articles related to a specific citation. The service operates in a similar way to commercial website usage-based recommendations, such as can be found on Amazon: results are relevant, up to date, and easily accessible.
This is a new service that taps into the power of the networked scholarly community to generate recommendations based on article usage. It represents the growing recognition of the importance of user-driven content and an important step in the convergence of Web 2.0 and the scholarly world.
From a specific citation, the bX™ Recommender service will display a list of other relevant journal articles based on actual usage data from SFX access logs. When a user enters citation data in to the A-Z list of ejournals at ejournals@cambridge at http://camsfx.hosted.exlibrisgroup.com/cambridge/az (either by searching for a specific citation or from the full text locator page) or when following an 'ejournals@cambridge' link from a citation in a database (Scopus, Google Scholar), bX™ will display other suggested articles.
Further details about the trail can be found on the library’s electronic resource pages at: http://www.lib.cam.ac.uk/electronicresources/bX.php
We would be grateful for your feedback on this trial. Please email bx_feedback@lib.cam.ac.uk
