We have developed a recommendation engine, known as Eigenfactor Recommends™,in order to help scholars find the papers that are most relevant to their research interests. At present the engine draws upon more than 40 millions papers and more than 200 million citations from a number of databases including Microsoft Academic Search, PubMed, JSTOR, arXiv, and others. More details can be found at babel.eigenfactor.org.