Affiliations: [a]
Sichuan Tourism University, Chengdu, China
| [b] Department of Computer Science, University of Alabama at Birmingham, USA
Correspondence:
[*]
Corresponding author. Xiuxia Ran, Sichuan Tourism University, Chengdu, 610100, China. E-mail: weg72310@sina.com and Mahmud Hossain, Department of Computer Science, University of Alabama at Birmingham, USA. E-mail: jhxsgx@my.lonestar.edu.
Abstract: In order to strengthen the training of English writing, this paper proposed a new business English writing training strategy based on some state-of-the-art recommendation algorithm. Firstly, we introduced the development of business English writing briefly, and then we studied how the recommendation algorithm is used to construct the English writing training model for the teachers, which can better assist students in business English writing training and reduce the common mistakes in writing. In this paper, we proposed an optimization and update scheme by the state-of-the-art recommendation algorithms. Furthermore, we designed a useful identification model to evaluate the continuous state of business English writing. The experimental results show that the coding accuracy of English vocabulary and the efficiency of the model can archive a good performance, which can effectively help students to write. This model deserves further promotion and application.
Keywords: New media environment, writing skills, problem recommendation algorithm, business English
