Abstract

The task of relevance search is to find relevant items to some given queries which can be viewed either as an information retrieval problem or as a semi-supervised learning problem In order to combine both of their advantages we develop a new relevance search method using label diffusion on bipartite graphs And we propose a heat diffusion-based algorithm namely bipartite label diffusion BLD Our method yields encouraging experimental results on a number of relevance search problems