Student at Tianjin University of Commerce, China
Ms. Yi Zi Lu is a talented researcher and current Master’s student in Information and Communication Engineering at Tianjin University of Commerce, China. With a Bachelor’s degree in Automation, she has developed a strong academic foundation in Artificial Intelligence, focusing on Natural Language Processing (NLP). Her primary research revolves around deep learning, recommendation systems, and intelligent algorithms. Notably, her study titled “Hybrid News Recommendation Method Based on Title-Content Matching” addresses the challenge of inaccurate user interest modeling in news recommendation systems. By utilizing innovative techniques such as interactive attention networks and Siamese Neural Networks, her research enhances recommendation accuracy, showcasing her ability to tackle complex problems with creative solutions.
📝professional profile
ORCID
🎓Educational Details:
Ms. Yi Zi Lu holds a Bachelor’s degree in Automation from Tianjin University of Commerce, China, and is currently pursuing a Master’s degree in Information and Communication Engineering at the same institution. Her specialization in Artificial Intelligence, particularly in Natural Language Processing, showcases her strong academic foundation and focus on cutting-edge technologies.
👨🏫Innovation and Extension Activities:
Ms. Lu’s research is innovative, combining neural collaborative filtering and factorization machines to tackle the challenges of title-content mismatching. This approach highlights her ability to think creatively and develop solutions with practical applications. Her work has the potential to influence the development of more accurate and user-centric recommendation systems, indicating her commitment to advancing technology in her field.
Recognition and Professional Impact:
Although Ms. Lu is still a student, her contributions to the field of Artificial Intelligence are noteworthy. Her research has been published in reputable journals, and her involvement in cutting-edge projects positions her as a promising researcher. With a focus on deep learning and AI, her work is aligned with current technological trends, making her a valuable asset to the research community.