Company: ZHIHF
Filing Date: 2025-04-15
Form Type: 20-F
Source: 0001410578-25-000729
Chunk: 102

Company: Zhihu Inc.
Filing Date: 2025-04-15
Form: 20-F
Item: Item 3
Chunk 102
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 constantly refine our algorithms for accurate identification of trending topics and user demand to better connect the right users with the right content. We also market our community and quality content through popular search engines, social media, trending apps, web navigation portals, and third-party mini-programs.

Technological Infrastructure

We develop and deploy our technological infrastructure and data capabilities based on and suitable for the nature of our content and our content-centric monetization strategies.

TopicRank sets the technological foundation of Zhihu as a trustworthy online content community from the content creator perspective. Powered by our AI capabilities, TopicRank assesses content through understanding of content creators and is continually refined by machine learning technology and our proprietary know-how and data insights derived from our decade-long operations. We have been enhancing TopicRank’s iterative process by allowing an overlay of our “fulfilling-ness” approach, leveraging our deepened understanding of content. As part of our efforts in developing and implementing our “fulfilling-ness” approach, we are applying various technical means, including AI, machine learning, and natural language processing, in cultivating our technological capability of identifying and promoting “fulfilling content.” We believe that we are uniquely positioned to cultivate the “fulfilling-ness” approach by leveraging our extensive content portfolio and over a decade of operating experience.

We use an intelligent question routing system to accurately invite users to contribute their answers. Based on the analysis of a particular question and data insights on users, the question routing system identifies users who have created content (preferably with positive feedback by other users) or shown interest in the relevant field based on user profiles and behaviors, and distributes the question to these users, prompting for a response. In addition, we also supply content creators with a suite of productivity tools to assist in creating content in various forms and easily editing texts, images, and videos.

We also use a feed recommendation system and a search system to efficiently distribute content of interest to users. The feed recommendation system creates personalized home feeds when users access the Zhihu app and website based on user profiles and behaviors. The feed recommendation system enables us to optimize user experience and improve the signal-to-noise ratio. We continue to improve both the feed recommendation and search systems through TopicRank and machine learning technology.

Our research and development team are comprised of highly qualified employees, substantially all of whom held Bachelor’s or higher degrees as of December 31, 2024. We plan to continue to invest in technology and innovation to enhance user and customer experience.

User Privacy and Data Security

Data security