bX™ Recommender is a service that provides researchers with article suggestions based on their area of interest. Based on the usage of millions of researchers around the globe and starting from the article the user is looking at it checks what other articles were used together with it and displays a list of relevant articles.
It works like the “More Like This” services on web sites such as Amazon, but it is based on article usage of thousands of people at research institutions around the world.
The articles may be from different journals, publishers and platforms and may even carry different keywords. bX recommendations are a valuable extension to the user’s own research: the user finds an article, bX finds more for them.
To try the service, simply use the LinkIt@Flinders button as usual and look for the "Users interested in this article also expressed an interest in the following" section.