School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu, China

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Abstract—Website Information Island leads to information partition between sites and customers, and holds back the improvement of website popularity. To solve this problem, the paper proposes website keywords seeding system based on internal and external SEO, and provides data structure, operation process and key algorithm inside model; According to external customers' high-frequency search terms and internal customers' demand, this model uses multi-dimensional vector overlay space to match and extract information required by customers, has internal website optimized automatically and issues keywords. Theoretical analysis and experimental results both show that, the model has a high feedback speed for demand, which can improve sites' customer satisfaction and search rankings effectively.

Index Terms—website, SEO, match, retrieval, overlay space, information

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Cite: LI Zhongjun, "Research on the Website Keywords Seeding System Based on SEO," Journal of Computers vol. 6, no. 1, pp. 75-82, 2011.