The bX™ Recommender 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.
The bX service is brought to you by the same team that created SFX and the OpenURL standard, a collaboration of Ex Libris and the Los Alamos National Laboratory (LANL) renowned researchers Johan Bollen and Herbert Van de Sompel.
Empower Your Library Users with Web 2.0 Recommendations
Web-savvy users are well accustomed to usage-based recommendations. Found on commercial websites such as Amazon.com, these recommendations have become highly popular with users, who continue to find them both relevant and valuable.
Focused solely on the scholarly domain, bX recommendations are based on actual usage data. It is the first service to provide highly granular recommendations that point to specific scholarly articles.
By offering the bX Recommender, your library steps up to serve your patrons with a valuable tool that meets user expectations for up-to-date, Web 2.0-type services, providing recommendations that are:
- Relevant: based on the analysis of millions of transactions related to the context of the user’s work
- Up-to-Date: include current scholarly material down to the article level
- Easily Accessible: tightly integrated into scholarly search results
See how bX can help your library
Up and Running within Hours in a Software-as-a-Service Environment
The bX Recommender is offered as an on-demand service, meaning that there is nothing to install or maintain on your network. Just complete the self-registration process online and be up and running in one business day.
bX recommendations are delivered to your library’s system, so users can immediately start seeing recommendations using their existing login credentials. And because bX recommendations are so intuitive and delivered directly to their familiar scholarly discovery environment, users need absolutely no training and can right away start benefiting from the service.
Subscribe now or sign up for a free trial
Make Your User Input Count: Contribute Usage Data to the bX Project
Institutions which sign up for the bX service can also contribute usage data to the service. Although such contribution is not a requirement for using the service, any additional usage data will enhance the quality of recommendations provided to the subscriber community.
Institutions that contribute usage data to bX enjoy an enhanced level of granularity when viewing recommendations. In addition to those based on global usage, recommendations can be generated based on usage at their own institution, their consortium, and peer institutions.
