Research on the Transformation and Upgrading of Traditional Book Publishing to Standardized Digital Publishing

At present, digital publishing has a bright future. However, under the current publishing model based on physical publications, digital publications are faced with problems such as insufficient quality of content resources, insufficient approval procedures, and insufficient authority of publications. In response to the above problems, this paper proposes a publishing decision-making algorithm based on a knowledge aggregation service platform, and applies it to the practice of digital publishing by Tsinghua University Press. The algorithm uses the massive network resources and user data gathered by the platform to select high-quality network resources for digital publishing through calculations. It aims to improve the quality of digital publications and accelerate the circulation of knowledge, hoping to provide a valuable reference for promoting the transformation and upgrading of the publishing industry.