Towards automatic generated content website based on content classification and auto-article generation

Abstract

In recent years, social media has becoming a battle field, not only for online marketing but also for politic, etc. Such as Facebook, online advertisement is now the main revenue of their company and the main idea is to attract users to particular fans page and to create flow. Flow is king is now the important concept for who want to manage their business online. Thus, in this paper, we intend to develop a website based on the concept of auto-article generation (AAG), which can gather useful information or news from other resources from WWW. The techniques that used for the AAG website including web crawler, cloud storage and computing, content classification, etc. The main idea is to attract users to visit the website and by this to create website flow.