Abstract:

Purposes This paper aims to systematically review the development status of precise push for scientific journals globally， identify the key challenges faced by Chinese scientific journals in its practice， and forecast future development trends. The goal is to provide theoretical references and practical pathways for enhancing the dissemination capacity and influence of Chinese scientific journals. Methods Employing the literature research method and case analysis method， this study conducted a systematic retrieval of relevant literature from the CNKI （China National Knowledge Infrastructure） database spanning the years 2015 to 2025. Based on an in-depth analysis and synthesis of representative cases， an evolution framework from “editor-driven precision” to “algorithm-driven precision” was constructed. Findings The research finds that the precise push of Chinese scientific journals has gradually shifted from the “editor-driven precision” paradigm， reliant on editorial experience， towards the “algorithm-driven precision” paradigm centered on big data and intelligent algorithms. This transition has achieved significant improvements in push efficiency and service scale. However， challenges such as vague user profiles， data silos， algorithmic information narrowing， and insufficient content production collaboration persist. Conclusions Future development of precise push for Chinese scientific journals should advance towards intelligent and efficient dissemination， integration into scientific research workflows， user-participatory interaction， and scenario-intelligent integration. While leveraging technological empowerment， it is crucial to strengthen the deep integration of data ethics governance and a new academic evaluation system to achieve sustainable and high-quality academic communication.

Key words: Scientific journals, Precise push, Development status, Future trends, Communication effectiveness, Academic services

摘要：

目的 系统梳理国内外科技期刊精准推送的发展现状，识别中文科技期刊在精准推送实践中面临的关键挑战，并展望其未来发展趋势，为提升中文科技期刊的传播力与影响力提供理论参考与实践路径。 方法 采用文献研究法与案例分析法，系统检索2015—2025年中国知网（CNKI）数据库中相关文献，并基于代表性案例进行深入分析总结，构建从“人工精准”到“算法精准”的演进框架。 结果 中文科技期刊精准推送已从依赖编辑经验的“人工精准”范式，逐步转向以大数据与智能算法为核心的“算法精准”范式，实现了推送效率与服务规模的显著提升。然而，仍面临用户画像模糊、数据孤岛、算法信息窄化、内容生产协同不足等挑战。 结论 中文科技期刊精准推送应朝向智能化高效传播、嵌入科研工作流、用户参与式互动、场景智能融合等方向发展，并在技术赋能的同时，加强数据伦理治理与新型学术评价体系的深度融合，以实现可持续、高质量的学术传播。

关键词: 科技期刊, 精准推送, 发展现状, 未来趋势, 传播效能, 学术服务