Research on the Design and Optimization of Russian Spoken Wisdom Education System Based on Recommendation Algorithm

Language is the link of excellent civilization exchange and inheritance, all cooperation and integration among all ethnic groups, regions and countries. As two big countries on the international stage, China and Russia play an irreplaceable role in international affairs. With such a large-scale Russian talent training team, its basic teaching mode is worthy of academic thinking and research. Especially since 2019, Russian teachers in colleges and universities across the country have ushered in a new “big exam”. How to take the initiative to turn crisis into opportunity, do a good job in teaching, improve teaching methods and form a benign teaching reflection is an important mission of Russian teaching. Therefore, how to correctly use different oral testing methods, including using more scientific and objective scoring standards to complete the test, is an important issue that should always be taken seriously and continuously improved in the teaching and testing of relevant courses for each grade of Russian major. The main research direction of this article is to improve the measurement method of user similarity, refine user behavior, and combine factors such as user learning goals to improve recommendation accuracy. This article elaborates in detail on the connotation, methods, platforms, teaching reflection, and promotion of student remote learning models of online teaching, in order to provide reference and guidance for online Russian teaching in China.