Company Filing History:
Years Active: 2018
Title: The Innovative Contributions of Liwen Zhang
Introduction
Liwen Zhang is a notable inventor based in San Carlos, CA (US). He has made significant contributions to the field of data processing, particularly in the area of user-generated content. His innovative approach has led to the development of a unique patent that addresses the challenges of processing heterogeneous data.
Latest Patents
Liwen Zhang holds a patent titled "Scalable processing of heterogeneous user-generated content." This patent describes a system designed for efficient data processing. During operation, the system obtains a first configuration for processing a first set of content items from a first data source and a second configuration for processing a second set of content items from a second data source. For each content item in the first set, the system utilizes mappings from the first configuration to transform original fields into required fields in a record representing the content item. Subsequently, the system generates a document key for the content item from the required fields. It also performs deduplication of multiple records with the document key, storing a single record with that key. Finally, the system employs the second configuration to generate records from the second set of content items independently of the first set.
Career Highlights
Liwen Zhang is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing the efficiency and scalability of data processing systems.
Collaborations
Liwen has collaborated with talented individuals such as Bin Wu and Weiqin Ma, who have contributed to his projects and innovations.
Conclusion
Liwen Zhang's contributions to the field of data processing through his patent demonstrate his commitment to innovation and technology. His work at Microsoft Technology Licensing, LLC highlights the importance of scalable solutions in handling user-generated content.
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