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Correlation Analysis of SRDA Algorithm and Online Advertising Effectiveness

Bei Ju

Abstract


This paper conducts an examination of cultural influence on online advertising effectiveness in China setting against the background of globalization and the widespread usage of online business communication. Taking online banner ad as an example, it takes a way of questionnaire survey to investigate online advertising effectiveness, uses the sparse expression discriminant analysis algorithm for the correlation and variance analysis of the survey results which keeps the sparse reconstruction relation by minimizing the reconstruction error in low-dimensional space, that is, obtaining the minimum reconstruction error among samples of same class and maximum error of different classes, and finally gets the survey results. The results show that the power distance is of the greatest significance in online advertising. More specifically, the high uncertainty avoidance is also found to be significantly crucial which should be attached much importance on when the international marketers are formulating their online advertising strategies in China.

Keywords


online advertising effectiveness, banner advertisement, correlation analysis, sparse expression identification analysis algorithm.

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