Cross-Cultural Awareness of College Students Based on Cross-Cultural Communication

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Baozhi Wang, Zengli Wu

Abstract

Cross-cultural communication lays the foundation for sustainable development education. In order to further improve the level of cross-cultural awareness of college students in China, a recommendation algorithm based on cross-cultural communication comparison model is proposed.Methods: The algorithm uses the keywords with high weight in the recommended items as the attribute characteristics of the recommendation items, and then recommends the items with the closest vectors (the highest score of the vector calculation with user characteristics) to the users. Results:TF-IDF method is used to calculate and calculate the keywords with high weight in intercultural communication mode as describing user characteristics, and these keywords are used as describing vector of user characteristics, so as to construct the intercultural awareness model of College students. Finally, APRIORI ALL algorithm is used to train and test the model.Conclusion: The test results show that the error is less than 5%. The experimental results show that the proposed algorithm is effective. The intercultural awareness model can improve the intercultural communicative competence of college students and provide a reference for English intercultural teaching in basic education stage.

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