SFX article recommendation service
Following a successful trial, UCL has now launched a new article recommendation service, based on SFX. This works in a similar way to Amazon’s “Customers who bought this item also bought…” suggestions. It recommends articles that are similar to the one to which you’ve linked using SFX.
The recommendations are based on actual (anonymised) SFX usage data from SFX customers around the world, including UCL, and take account of articles viewed in the same session by significant numbers of users. They offer another mechanism for finding articles on a topic, as a complement to systematic literature searches.