Sarkanto Scientific Search September 13, 2010Posted by Andre Vellino in Collaborative filtering, Digital library, Information retrieval, Recommender, Recommender service, Search.
A few weeks ago I finished deploying a version of a collaborative recommender system that uses only article citations as a basis for recommending journal articles. This tool allows you to search ~ 7 million STM (Scientific Technical and Medical) articles up to Dec. 2009 and to compare citation-base recommendations (using the Synthese recommender) with recommendations generated by ‘bX’ (a user-based collaborative recommender from Ex Libris). You can try the Sarkanto demo and read more about how ‘bX’ and Sarkanto compare.
Note that I’m also using this implementation to experiment with Google Translate API and the Microsoft Translator to do both query expansion into the other Canadian Official Language and to translate various bibliographic fields upon returning search results.