Core Insights - The report highlights the achievements and user preferences of the digital ancient book platform "Shidian Ancient Books" over the past year, showcasing its growth and user engagement [1][2] Group 1: Platform Achievements - Over the past three years, Shidian Ancient Books has made 47,000 ancient texts available, with over 4,000 teams utilizing the platform for organization [1] - The platform serves over 2.4 million users monthly, with total visits exceeding 147 million [1] - The app launched in April 2025, enhancing user accessibility to ancient texts, with popular titles including "Zizhi Tongjian," "Shan Hai Jing," and "Huangdi Neijing" [1] Group 2: User Engagement - The average reading time per user on the platform is 23 minutes, with the most engaged users spending an average of 498 minutes daily [1] - The top three provinces by user count are Guangdong, Shandong, and Jiangsu, followed by Henan and Zhejiang [1] Group 3: Community Involvement - The "I Use AI to Edit Ancient Books" initiative launched in March 2025 attracted 37,000 university students and volunteers from 1,450 universities, contributing approximately 1.5 billion characters across nearly 20,000 ancient texts [2] - The initiative includes participants from various fields, including literature, history, and computer science [2] Group 4: Technological Advancements - The platform has introduced several specialized resource databases and launched an AI research assistant based on the Doubao model technology, filling a technological gap in the field [2]

Core Insights - The launch of the "Deep Research Assistant" feature on the "Shidian Ancient Books" digital platform marks a significant advancement in the field of ancient book research, utilizing AI technology for in-depth analysis and research support [1][3] Group 1: Product Features - The "Deep Research Assistant" is an autonomous AI tool that can conduct comprehensive research, from planning to report generation, significantly enhancing the depth and efficiency of ancient book studies [1][3] - It is designed to go beyond traditional Q&A models by creating research plans, extracting information from digital ancient texts, and generating structured reports with charts [3][6] - The assistant's conclusions are based solely on the ancient texts within the platform, ensuring reliability and credibility through a unique "citation chain" mechanism [6] Group 2: User Experience and Feedback - The development of the "Deep Research Assistant" was influenced by feedback from scholars who found traditional research methods cumbersome and time-consuming [3][8] - In testing scenarios, the assistant demonstrated high accuracy, closely matching the number of examples found in scholarly papers, and received positive feedback for its clarity and innovative perspectives [6][8] - The feature is currently available for trial, with ongoing user and expert feedback being used for continuous improvement and optimization [8] Group 3: Market Position and Potential - This feature represents the first deep knowledge mining attempt in the digital ancient book sector, filling a gap in AI applications for in-depth ancient research [3] - The assistant serves as a resource for content creators and enthusiasts, providing quick access to accurate historical materials and making ancient studies more engaging and efficient [8]

Core Insights - The launch of the "Deep Research Assistant" feature on the ancient book digitalization platform "Shidian Ancient Books" represents a significant advancement in AI application for in-depth research of ancient texts, enhancing research efficiency and depth [2][3] Group 1: Product Features - The "Deep Research Assistant" utilizes advanced AI technologies, including ByteDance's Doubao large model, to conduct comprehensive analysis and research on the platform's collection of 36,000 ancient texts [2] - Unlike traditional Q&A bots, this assistant can autonomously create research plans, extract knowledge, organize data into tables, and generate research reports complete with charts [2] - The feature addresses the challenges faced by scholars in manually extracting information from vast amounts of literature, streamlining the research process significantly [3] Group 2: User Experience and Feedback - The development of the "Deep Research Assistant" was driven by feedback from scholars using the platform, indicating a need for more efficient research tools [3] - The assistant can serve as a "repository of inspiration" for content creators, quickly generating accurate and engaging historical materials, thus supporting various forms of ancient text revitalization [3] - It also acts as an online mentor for enthusiasts, making the study of ancient texts more engaging and efficient while maintaining a professional standard [3]