Abstract
In recent years, product quality and safety event shave happened frequently, which poses a threat to the health and property safety of consumers. With the development of the Internet, Web news has become one of the important channels for information release regarding product quality and safety issues. Therefore, identifying and tracking these incidents information plays an important role in providing early warning for product quality and safety problems. This paper presents K-Nearest Neighbor(KNN) algorithm as the methods of event and the topic tracking, and takes into account the correlation of product quality and safety WEB news to improve KNN algorithm. The hole shoes event as an example is to verify the feasibility of the proposed algorithm.
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