In order to improve the teaching effect of college English cross-cultural knowledge, with the support of recommendation algorithms, this paper builds a O2O teaching system of cross-cultural knowledge in college English based on MOOC, and provides service methods such as material resource learning,“smart grab-order” question answering, resource recommendation, LBS appointment teaching and offline teaching. Moreover, this paper constructs a learner and teacher interest model, introduces a suspicious degree update model into the interest model, uses a deep learning network algorithm to recommend composition resources, and uses a deep network adaptive learning algorithm to enhance the accuracy of composition resource recommendation. In addition, this paper constructs a system framework structure based on actual needs, and studies the realization process of each of its functional modules. Finally, this paper designs an experiment to evaluate the practical effect of O2O teaching system of cross-cultural knowledge in college English based on MOOC. The research results show that the system constructed in this paper meets the expected requirements.

中文翻译：

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基于MOOC的大学英语跨文化知识O2O教学体系构建研究

为提高大学英语跨文化知识的教学效果，在推荐算法的支持下，构建了基于MOOC的大学英语跨文化知识O2O教学体系，并提供素材资源学习等服务方式。 、“智能抢单”问答、资源推荐、LBS预约教学和线下教学。此外，本文构建了学习者和教师兴趣模型，在兴趣模型中引入了可疑度更新模型，使用深度学习网络算法推荐作文资源，使用深度网络自适应学习算法提高作文资源推荐的准确性。 . 此外，本文根据实际需要构建了系统框架结构，并研究其各个功能模块的实现过程。最后，本文设计了一个实验来评估基于MOOC的大学英语跨文化知识O2O教学系统的实践效果。研究结果表明，本文构建的系统满足预期要求。