Resource distribution of online and offline interactive teaching mode based on feature fusion network

Abstract

This paper combines the text similarity calculation of co-occurring words, text similarity calculation of semantic similarity, text similarity calculation of cosine similarity, and text similarity calculation based on a language network and joins the feature fusion network to construct a multi-feature fusion text similarity calculation method, so as to realize the resource distribution of interactive teaching mode. Through the design of functional modules, database design, and framework design of the system, JavaEE technology is used to realize the system design and complete the online and offline interactive teaching. After testing, the distribution of teaching resources under this algorithm does not change as the number of users increases, and the range fluctuates between (0,25). The system can run stably when multiple classrooms and users are online at the same time, and the system resource consumption is around 95%, all in a reasonable range.