Lucene and deep learning based commodity information analysis system
Jiangzhong Cao, Jinjian Lin, Suxue Wu, Mingxiang Guan, Qingyun Dai, Wenxian Feng · 2016
E-commerce is profoundly changing the economic growth and people's lifestyles, but it also become a zone of fake, shoddy and other violations of intelligent property. In view of this phenomenon, we developed an information analysis system for electronic commodities. The system adopts the web crawler technology to capture the information of the commodities, which is used to form a resource library with the patent information. Based on the resource library, the Lucene engine and deep learning are used to analyze the commodity information from text and image respectively. Experiments show that the information analyzed from the system has a good reference value to a comprehensive understanding of commodity information.