Abstract:

[Purposes] In the era of artificial intelligence, intelligent recommendation algorithms have opened up new avenues for improving international communication in the realm of scientific journals. This study seeks to analyze the present state and challenges associated with the application of intelligent recommendation algorithms within Chinese scientific journals while exploring strategies for harnessing these recommendation algorithms to enhance international communication. [Methods] First, this study analyzed the compatibility of intelligent recommendation algorithms and the international communication of scientific journals. Then, it chose 280 journals listed in the Excellence Action Plan for China's STM Journals as samples, and the relevant attribute data reflecting the application of intelligent recommendation algorithms in these journals were collected. Lastly, methods including statistical analysis, content analysis, and comparative analysis were employed to investigate the challenges associated with the application of intelligent recommendation algorithms in these Chinese scientific journals. [Findings] The selected journals underutilize platforms equipped with recommendation algorithms. There is a need for further refinement of user attribute data. International cooperation and exchange should be intensified. More attention should be directed towards removing language barriers. [Conclusions] In order to effectively harness intelligent recommendation algorithms for the precise international communication of scientific journals, several strategies can be employed. Firstly, Chinese scientific journals can capitalize on existing international communication platforms while simultaneously advancing the development of independent platforms. Furthermore, there is a need to provide more effective data for intelligent recommendation algorithms. Additionally, international cooperation should be bolstered to broaden international communication channels and influence. Lastly, Chinese scientific journals should promote the establishment of English scientific journals and promote translation and editing for Chinese research findings.

Key words: Intelligent recommendation algorithm, Scientific journal, International communication, Strategy

摘要：

【目的】 人工智能时代,智能推荐算法为科技期刊的国际传播提供新的思路。分析我国科技期刊应用智能推荐算法的现状及问题,探讨科技期刊如何利用智能推荐算法促进国际传播。【方法】 从智能推荐算法与科技期刊国际传播的适配性出发,选取入选中国科技期刊卓越行动计划的280种期刊为样本,获取能够代表样本期刊应用智能推荐算法情况的属性数据,综合使用统计分析、内容分析、对比分析等方法,探讨我国科技期刊应用智能推荐算法时存在的问题。【结果】 样本期刊对具备推荐功能的平台使用不足;用户属性数据需要进一步完善;国际合作与交流需进一步加强;对清除语言障碍的重视程度不够。【结论】 为有效应用智能推荐算法,实现科技期刊的精准国际传播,可运用现有国际传播平台,同时推进自主平台建设;为智能推荐算法提供更多有效数据;加强国际合作,扩大国际传播渠道和影响力;在鼓励创办英文科技期刊的同时,重视对中文科研成果的翻译和编辑等。

关键词: 智能推荐算法, 科技期刊, 国际传播, 策略