In the context of a research and prototyping project, the California Digital Library is using catalog content indexed in XTF, along with over 9 million historical circulation transaction records and other external data, to generate recommendations for an academic audience. Early results are promising. This talk will focus on methods, challenges, and plans for further development.
For more information on the project: http://www.cdlib.org/inside/projects/melvyl_recommender/
California Digital Library and
UC Berkeley Schoool of Information Management and Systems