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.

How to Cite
ZHANG LIANG, REN LIXIAO, Dr.. Relevance Search via Bipolar Label Diffusion on Bipartite Graphs. Global Journal of Computer Science and Technology, [S.l.], aug. 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/518>. Date accessed: 19 jan. 2021.