Company: FENG
Filing Date: 2025-04-18
Form Type: 20-F
Source: 0000950170-25-055759
Chunk: 32

Company: Phoenix New Media Ltd
Filing Date: 2025-04-18
Form: 20-F
Item: Item 4
Chunk 32
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 and maintenance costs.

Content Management Technology. We have internally developed a leading new media content management system, which fully integrates our PC and mobile channels. We have also developed a new consolidated system, UCMS (U-Content Management System), for content management and delivery.

Integration with Phoenix TV. The integration of our and Phoenix TV’s content management systems allows us to directly access Phoenix TV’s programs digitally, in addition to our access via satellite signal, and to expedite the transmission of our content to Phoenix TV.

Data Analysis Technology. Based on commercial big data, we developed a data analytical system, which has successfully helped to build a comprehensive analytical chain of big data and helped us to achieve our goals of making precise and efficient commercial strategy decisions. This system delivers comprehensive and consultative data ranging from distribution channel, content to manpower. We can access advertising exposure data as well as clicks and its corresponding costs on all business platforms, such as our PC websites, mobile applications and mobile websites. In addition, this system possesses flexible mechanics for organizing and analyzing data, with relatively lower cost.

Cloud Computing. We have built a distributed file system, which provides file access services to our content management system, and is anticipated to power our streaming media service and core storage for CDN nodes. We have commenced our distributed computing platforms project, which provides large-scale computer capacity support for our raw access log and transcoding computing-intensive applications. With cloud computing, we benefit from extremely flexible and scalable computing and storage resources, which increase utilization of resources and significantly reduce computing costs.

Intelligent Recommender System (IRS). Our technical department developed a real-time, personalized recommender system, which produces a list of contents through algorithm-based system and expert system, to predict contents that the user may have an interest in, and to recommend additional items with similar properties. Powered by cutting-edge algorithm technology, we are able to provide useful and relative news and information to our users, and also well-equipped to provide enhanced advertising solutions that target users based on their exhibited preferences.

Competition

We operate in the market of PC and mobile Internet content and services, especially in newsfeed sector in China. The industry is highly competitive and rapidly changing due to the growing market and technological developments. Our ability to compete successfully depends on many factors, including the quality and relevance of our content, the demographic composition of our users, brand recognition and reputation, user experience, the robustness of our technology platforms, our ability to provide innovative advertising services to our customers and our relationships with our advertisers.

While we believe that our integrated platforms