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Cross-Cultural Communication of Regional Images Based on Multimodal Discourse Analysis and Network Security

机译：基于多模式语篇分析和网络安全的区域图像的跨文化交际

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Numerous evaluation methods are used as effective indicators for the cross-cultural communication of a regional image. However, because these indicators are primarily in a foreign cultural situation, it is challenging to measure their attitudes and cognitions across geographic distances and cultural differences. This challenge motivated us to combine cultural communication methods and modern location service technology to carry out regional image communication research. First, this article examines the basic process of cross-cultural communication and the generation of regional images from an information transmission and network security perspective. It combines multimodal discourse to analyze influencing factors and establishes a hierarchical model of the cross-cultural communication indicator system. Secondly, based on the location-based service (LBS), this article adds scene information to develop a user tendency model. This model effectively handles the conversion between two-dimensional scoring space and three-dimensional tendency space and can adapt to the short-term changes of users' tendency. The experimental results verify that the location-based e-commerce recommendation algorithm proposed in this paper can better solve information overload and obtain a significant recommendation effect.
机译：许多评估方法被用作区域形象的跨文化交流的有效指标。然而，由于这些指标主要是在外国文化局面，衡量地理距离和文化差异的态度和认知挑战。这一挑战激励我们结合文化通信方法和现代定型服务技术来开展区域形象通信研究。首先，本文从信息传输和网络安全视角审查了跨文化交际的基本过程和区域形象的生成。它结合了多模式话语来分析影响因素，并建立了跨文化通信指标系统的分层模型。其次，基于基于位置的服务（LBS），本文添加了场景信息来开发用户倾向模型。该模型有效地处理二维评分空间和三维趋势空间之间的转换，并且可以适应用户趋势的短期变化。实验结果验证了本文提出的基于位置的电子商务推荐算法可以更好地解决信息过载并获得显着的推荐效果。

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