Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 17, 2023


Pages


DOI

Article

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

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Authors

Wencong Wu Affiliation:
Foreign Language Department, Xi’an University of Architecture and Technology Huaqing College, Xi’an, Shaanxi, 710049, China.


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.


Keywords

Text similarity, Feature fusion network, Cosine similarity, Teaching resource distribution, JavaEE technology, 97D60


Citation

Wu, W. (2023). Resource distribution of online and offline interactive teaching mode based on feature fusion network. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00673

Published by: Engineering Journals

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