Product information extraction & analysis
Fang Yang, Bo Hu, Cuifen Bai, Xinyang Han · Proceedings of the 3rd International Conference on Communication and Information Processing · 2017
Discovering usable information or knowledge from the Web for better decision making is a challenging task for the researchers from both academia and industry. This paper describes the research work on the construction of the Competitor Mining System (CMS), whose goal is to enable business people to find and watch their competitors in an effective and efficient way. A technical framework and the detailed algorithms employed inside for product information extraction from the Web and their competitiveness analysis are presented. The initial experiments on the evaluation are reported, which demonstrate the effectiveness of the proposed solutions. The future extensions from research and application perspectives are discussed. We believe that this work can serve as an important reference for the development of other similar systems related to the Web based object mining.