An intelligent model for news and publishing industry

Abstract

News and publishing industry had encountered dramatically changes in the last two decades. The traditional companies in the industry are facing challenges in the so-called new media era from two aspects. On the one hand, technology companies consistently occupy their territories, on the other hand, the traditional publication lifecycle suffers a long supply chain management and can hardly cope with the fast-changing internet realities. In order to deal with these problems, this paper proposes an intelligent publishing model. The model integrates modern information technologies into the publishing workflow in which artificial intelligence plays an important role. By machine learning technologies, the vast amount of intelligent properties accumulated by publishing houses can be converted to machine understandable knowledge and further to enhance users' experiences. The proposed model refines the publishing process and helps the industry entities facing the process of incoming media convergence.