Recommendations for Enhancing Algorithm Recommendation Technology to Improve the Precision of Science Popularization

Wanxiang Zhang

doi:10.70393/616a736d.333432

OPEN ACCESS |Research Article ||15 January 2026

Recommendations for Enhancing Algorithm Recommendation Technology to Improve the Precision of Science Popularization

Wanxiang Zhang

Xinjiang Normal University

hallej24@163.com

Xinjiang Normal University, School of Marxism, Xinjiang, Urumqi, China.

* Corresponding Author¹: Wanxiang Zhang, E-Mail: hallej24@163.com

Publication

Accepted 2025 November 18 ; Published 2026 January 15

Academic Journal of Sociology and Management, 2026, 4(1), 3005-5040.

Abstract

Algorithm-based recommendations for precision science communication aim to address the challenge of accurately, swiftly, and efficiently extracting science information, categorizing it, and delivering targeted content in the information-saturated digital age. Intelligent algorithms rely on massive datasets for information mining, integration, and distribution. By analyzing users' information reception patterns, they enable precise, efficient, and rapid personalized recommendations. The powerful computational capabilities and information dissemination speed of big data algorithms have triggered a "technological tsunami" gradually emerging as a new variable in science popularization for grassroots communities. The era of artificial intelligence centered on big data algorithms has arrived. China's science popularization initiatives have flourished, continuously building and establishing a modern science museum system. This system, anchored by physical science museums and supported by mobile science museums, science outreach vans, and digital science museums, has become a project that benefits the people. Public science popularization services have become more balanced and effective.

Keywords

Algorithm-based Recommendations , Rural Areas , Science Popularization .

Metadata

DOI:

10.70393/616a736d.333432

ARK:

ark:/40704/AJSM.v4n1a03

Pages: 14-21

References: 11

Disciplines: Management

Subjects: Operations Management

Cite This Article

APA Style

Zhang, W. (2026). Recommendations for enhancing algorithm recommendation technology to improve the precision of science popularization. Academic Journal of Sociology and Management, 4(1), 14-21. https://doi.org/10.70393/616a736d.333432

Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.

FUNDING

Not applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not applicable.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

INFORMED CONSENT STATEMENT

Not applicable.

CONFLICT OF INTEREST

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

AUTHOR CONTRIBUTIONS

Not applicable.

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