Zhang Shijun's Insights on Building a Recommendation Middleware Platform at iQiyi
Zhang Shijun, senior technical manager at iQiyi, explains how his team built a scalable recommendation middleware platform that unifies diverse business needs, improves code maintainability and performance, cuts development time by 30%, and now powers over a dozen services while balancing technical rigor with business agility.
This interview with Zhang Shijun, a senior technical manager at iQiyi, discusses his role in developing a recommendation middleware platform. The project aimed to create a scalable, efficient system to support multiple business units like short videos and live streaming. Key challenges included code maintainability, performance bottlenecks, and abstracting diverse business requirements into a unified platform. Solutions involved refactoring code for stability, optimizing resource allocation, and designing abstract data structures to handle different content types (e.g., manga vs. videos). The platform reduced development time by 30% and improved efficiency significantly.
The middleware now serves over a dozen iQiyi businesses, enabling rapid onboarding of new recommendation features. Zhang emphasizes the importance of continuous learning and adaptability in tech, particularly in fast-evolving fields like recommendation systems. He also highlights the balance between technical rigor and business agility, ensuring the platform remains both flexible and robust.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
