Location History:
- Shenzhen, CN (2022)
- Guangdong, CN (2023)
Company Filing History:
Years Active: 2022-2025
Title: Zhenlong Sun: Innovator in Recommendation Systems
Introduction
Zhenlong Sun is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of recommendation systems, holding three patents that showcase his innovative approach to user personalization and content delivery.
Latest Patents
Zhenlong Sun's latest patents include a "Method for making recommendations to a user and apparatus, computing device, and storage medium." This invention outlines a comprehensive method for generating personalized recommendations by analyzing user attributes, reading history, and candidate items. The process involves intra-group information fusion and the selection of recommendation items based on user feature information.
Another notable patent is the "Article recommendation method and apparatus, computer device, and storage medium." This invention focuses on analyzing a target user's historical reading patterns to determine the most relevant articles to recommend. By assessing attention degree values between historical articles and candidate reference articles, the method effectively identifies articles that align with the user's interests.
Career Highlights
Zhenlong Sun is currently employed at Tencent Technology (Shenzhen) Company Limited, a leading technology firm known for its innovative solutions and digital services. His work at Tencent has allowed him to further develop his expertise in recommendation systems and contribute to the company's advancements in user engagement.
Collaborations
Zhenlong has collaborated with notable colleagues, including Shukai Liu and Jun Rao. Their combined efforts have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Zhenlong Sun is a key figure in the realm of recommendation systems, with a focus on enhancing user experience through personalized content delivery. His patents reflect a deep understanding of user behavior and technology, positioning him as a valuable contributor to the field.