Company Filing History:
Years Active: 2019
Title: The Innovative Mind of Bokai Cao
Introduction
Bokai Cao is a notable inventor based in Chicago, IL (US). He has made significant contributions to the field of technology, particularly in fraud detection and social message analysis. With a total of 3 patents, his work showcases a blend of creativity and technical expertise.
Latest Patents
One of Bokai Cao's latest patents is focused on fraud detection in heterogeneous information networks. This innovative approach utilizes heterogeneous information to identify potentially fraudulent transactions. By determining metapaths, the system can analyze transaction data to compute a feature vector 'z.' This feature vector is essential for generating a fraud detection model, which can be refined through machine learning techniques. The model is then capable of assessing new transactions and providing a risk score.
Another significant patent involves methods and systems for venue inference from social messages. This method includes accessing a collection of venues and training a classifier to predict links between social messages and these venues. The process involves identifying corresponding meta-paths for new social messages and encoding them as feature vectors. The trained classifier computes scores for each venue, allowing for the identification of candidate venues linked to the social message, even when the message is not geotagged.
Career Highlights
Bokai Cao has worked with prominent companies such as Fuji Xerox Co., Ltd. and Electronic Arts Inc. His experience in these organizations has contributed to his innovative mindset and technical skills.
Collaborations
Bokai has collaborated with talented individuals, including Francine R Chen and Ming Mao. These partnerships have likely enriched his work and led to further advancements in his projects.
Conclusion
Bokai Cao's contributions to technology through his patents reflect his innovative spirit and dedication to solving complex problems. His work in fraud detection and social message analysis continues to influence the field and inspire future innovations.