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.

中文翻译：

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基于多模式话语分析和网络安全的区域图像跨文化交流

许多评估方法被用作区域图像跨文化交流的有效指标。但是，由于这些指标主要处于外国文化环境中，因此跨地理距离和文化差异来衡量它们的态度和认知具有挑战性。这一挑战促使我们将文化传播方法与现代位置服务技术相结合，以进行区域图像传播研究。首先，本文从信息传输和网络安全的角度研究了跨文化交流的基本过程以及区域图像的生成。它结合了多模式话语来分析影响因素，并建立了跨文化交流指标体系的层次模型。第二，基于基于位置的服务（LBS），本文添加了场景信息以开发用户趋势模型。该模型有效地处理了二维计分空间和三维趋势空间之间的转换，可以适应用户趋势的短期变化。实验结果证明，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超载问题，并取得明显的推荐效果。