Abstract
Under the guidance of educational informationize 2.0 and Chinese education modernization 2035 baton, teaching information resources will show exponential growth. It is difficult to manually process and recommend to learners including text, pictures, audio, video, and other rich media learning resources. This study makes an in-depth analysis of the existing recommendation system of learning resources, which shows that the existing recommendation system is unsatisfactory and unable to accurately recommend learning resources for learners. Therefore, it is urgent to establish a recommendation system for learning rich media resources based on recognition technology. In this study, we will analyze the key technologies and construct the learning resource recommendation system based on identification technology by combining the feature analysis of these technologies, to introduce the operation mode of this system in detail, finally summarizing the research of this paper and discussing the next step of the research.
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