Company Filing History:
Years Active: 2014-2017
Title: Jiliang Chang: Innovator in Contextual Analysis and Segmentation
Introduction
Jiliang Chang is a notable inventor based in Potomac, MD (US). He has made significant contributions to the field of contextual analysis and segmentation of information objects. With a total of 2 patents, his work focuses on enhancing the way information is processed and categorized.
Latest Patents
Chang's latest patents include "Systems and methods for contextual analysis and segmentation of information objects." This patent discloses methods for processing information objects, such as web pages and user profiles, to create an index of key terms. By matching these terms to contextual segments, the system ensures that only the most relevant information is assigned to each segment. Another patent, "Systems and methods for contextual analysis and segmentation using dynamically-derived topics," further explores the identification of key terms and the creation of contextual representations for information objects. This innovation allows for the delivery of targeted advertising based on the contextual segments created.
Career Highlights
Jiliang Chang is currently employed at Aol Advertising Inc., where he applies his expertise in contextual analysis. His work has been instrumental in developing systems that improve the relevance of information delivery in advertising.
Collaborations
Chang has collaborated with notable coworkers, including Pero Subasic and Kenin Coloma, contributing to advancements in their shared field of expertise.
Conclusion
Jiliang Chang's innovative work in contextual analysis and segmentation has paved the way for more effective information processing and targeted advertising. His contributions continue to influence the industry and enhance user experiences.