A Novel Knowledge Network Framework for Financial News Navigation

Nowadays, various financial news retrieval platforms are provided to help users, especially for financial professionals and hobbyists to make right decisions. In those platforms, users usually get information by searching the relevant news via keywords or clicking the recommended news with the similar topic in the clicked web page. However, such ways to obtain financial information cannot effectively meet users’ further needs. They are eager to obtain the relevant news with different domains in a short time. To address this problem, we propose a novel four-layers-based knowledge network framework for financial news navigation. Experiments on real data sets demonstrate the effectiveness and efficiency of our proposed framework.