Taipei, Taiwan

Pei-Xun Wang

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Yahoo Assets LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pei-Xun Wang. Retrieved from https://idiyas.com/inventor/pei-xun-wang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Pei-Xun Wang and Content Recommendation Innovation.

Introduction

Pei-Xun Wang is an inventor based in Taipei, Taiwan, associated with Yahoo Assets LLC. His patent work focuses on adapting content recommendations to reflect users’ changing interests.

Latest Patents

Wang is named on one patent, “System and Method for Content Recommendation via Sequence Aware User Encoder.” The invention selects content for a user based on a user embedding and contextual information, then uses the user’s performance with the recommended content to update that embedding. A memory-dependency-aware model accounts for the user’s past interests and their relative intensities, helping generate an updated representation of current interests. Wang’s listed portfolio includes 1 patent.

Career Highlights

Wang’s documented patent contribution addresses personalized recommendation systems. The approach combines contextual signals, user feedback, and a model of interest over time to refine future content recommendations.

Collaborations

Wang’s listed coworkers include Yu-Ting Chang and Wei-Da Chen. The patent is associated with Yahoo Assets LLC.

Conclusion

Pei-Xun Wang’s patent work centers on sequence-aware content recommendation, using past interests and user responses to help tailor recommendations to current preferences.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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