Abstract
As one searches required documents via keywords over the Internet, ranks of the related documents are determined based on their correlation with the specified keywords and their click rates. That is, context relationship between the related documents is not employed to determine the rank. As a result, readers have to spend more time to understand the document contents or face difficulties in understanding the documents. In order to solve the problems, this research analyzes a great number of documents and generalizes the relationship between document characteristics and document categories. On the basis of the analysis results, this research develops a model for context relationship analysis of multiple documents. By using the proposed model, characteristics and categories of documents can be identified by using determinant vectors. Finally, the documents can be sorted and the context relationship of documents can be visually displayed for reading. As a whole, the research can assist readers to acquire reasonable and visualized ranking of documents and to read the documents in appropriate sequence.