The commodities price extracting for shop online
Quanyin Zhu, Yunyang Yan, Jin Ding, Yu Zhang · 2010
As the shop online and its usage develop very fast, the content, structure, and usage data, and the Web mining get more and more useful in everywhere such as e-supermarkets and e-commerce. Many theories and algorithms are reported for Web mining. This paper shows a novel idea for the commodities price extracting of shop online. The MVC design model and the Bottle Formwork are opted to build the application system. The opened developing tools: Python language and MySQL database are used to code the system program and construct the system database respectively. The system architecture and the commodity classified are introduced. The functions coded by Python are designed for implantation the commodities price extracting, comparative analyzing, and system management. Some of them are described in detail. Experiment demonstrates its performance and proves this case is meaningful and useful for the storekeeper online.