Hangzhou, China

Hu Wei

This inventor holds 5 USPTO granted patents and 1 published patent application. Top assignee: Alibaba Group Holding Limited. Active years: 2012-2019.

USPTO Granted Patents = 5 

% Patents Active = 80.0

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2012-2019

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5 patents (USPTO):Explore Patents

Title: Hu Wei - Innovator in Recommendation Technologies

Introduction

Hu Wei is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of recommendation technologies, holding a total of 5 patents. His work focuses on enhancing user experience through innovative recommendation methods and devices.

Latest Patents

Hu Wei's latest patents include a recommendation method and device that aims to improve the precision and effectiveness of recommendations provided to users. This method involves acquiring real-time user behavior data and updating existing rating data to generate current user rating data. By determining similarities between users and network objects, the system can send tailored recommendations to users while they interact with the network. Another notable patent is a recommendation method and apparatus that identifies core users and similar users to efficiently recommend potential users to network service providers.

Career Highlights

Hu Wei is currently employed at Alibaba Group Holding Limited, a leading technology company known for its e-commerce and cloud computing services. His role at Alibaba allows him to apply his innovative ideas in a dynamic environment, contributing to the company's advancements in technology.

Collaborations

Some of Hu Wei's coworkers include Ling Cao and Ke Jin, who collaborate with him on various projects within Alibaba. Their teamwork fosters an environment of creativity and innovation, leading to the development of cutting-edge technologies.

Conclusion

Hu Wei's contributions to recommendation technologies demonstrate his commitment to enhancing user experiences through innovation. His patents reflect a deep understanding of user behavior and the potential for technology to provide personalized recommendations.

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