Minggang Wu

Title: Innovations of Minggang Wu

Introduction

Minggang Wu is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of user behavior analysis and personalization through his innovative patent. His work focuses on enhancing the accuracy and efficiency of user recommendations.

Latest Patents

Minggang Wu holds a patent titled "Method and system for extracting user behavior features to personalize recommendations." This patent describes a method for extracting user features based on user behaviors. The method utilizes webpage clickstream data of a current user to compute a path correlation between the current user and other users. It selects a number of other users whose path correlation with the current user ranks among the highest. The method then configures weights in connection to preset tags of websites visited by the selected other users. It computes a user correlation between the current user and the selected other users based on the preset tags and the weights. Furthermore, the method constructs weighted-directed graphs of webpage click paths based on clickstream data. It converts computing user correlation to computing a similarity of weighted-directed graphs. The method also combines computing correlation of webpage tags to discover the user's clicking habits and personal preferences, ultimately improving the accuracy and efficiency of user clustering. Minggang Wu has 1 patent.

Career Highlights

Minggang Wu is currently employed at Alibaba Group Holding Limited, where he continues to innovate and contribute to advancements in technology. His work at Alibaba has allowed him to apply his expertise in user behavior analysis to real-world applications.

Collaborations

Minggang Wu collaborates with Ping Qiao, a coworker at Alibaba Group. Their partnership enhances the development of innovative solutions in the field of user behavior analysis.

Conclusion

Minggang Wu's contributions to the field of user behavior analysis through his patent demonstrate his commitment to innovation. His work not only improves user experience but also sets a foundation for future advancements in personalized recommendations.