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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Yun Fu

This inventor holds 8 USPTO granted patents. Top assignee: Yahoo! Inc.. Active years: 2009-2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yun Fu. Retrieved from https://idiyas.com/inventor/yun-fu-n7hvtyb9

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

USPTO Granted Patents = 8

% Patents Active = 12.5

Average Co-Inventor Count = 3.7

ph-index = 5

Forward Citations = 125(Granted Patents)


Company Filing History:

goldMedal8 out of 2,367 
 
Yahoo! Inc.
 patents

Years Active: 2009-2015

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8 patents (USPTO):Explore Patents
1. 9015170 - Entropy-based mixing and personalization (2015-04-21),
2. 8838625 - Automated screen scraping via grammar induction (2014-09-16),
3. 8838599 - Efficient lexical trending topic detection over streams of data using a modified sequitur algorithm (2014-09-16),
4. 8533202 - Entropy-based mixing and personalization (2013-09-10),
5. 8046248 - Identifying items that have experienced recent interest bursts (2011-10-25),
6. 8010532 - System and method for automatically organizing bookmarks through the use of tag data (2011-08-30),
7. 7685198 - Systems and methods for collaborative tag suggestions (2010-03-23),
8. 7548908 - Dynamic bloom filter for caching query results (2009-06-16),

Title: Innovations of Inventor Yun Fu

Introduction

Yun Fu is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of technology, holding a total of 8 patents. His work primarily focuses on enhancing user experience through innovative content delivery methods.

Latest Patents

One of Yun Fu's latest patents is titled "Entropy-based mixing and personalization." This patent provides techniques for selecting a diverse mix of content items that may be displayed to a user. The process involves receiving user-generated events from various sources and adding content items to a set based on their diversity of characteristics. By calculating the diversity of characteristics, content items that enhance the overall diversity are selected for display, resulting in a more meaningful mix for the user.

Another significant patent is "Efficient lexical trending topic detection over streams of data using a modified sequitur algorithm." This invention utilizes a Modified Sequitur algorithm (MSA) to identify trending topics within documents containing user-generated content. The documents are processed in parallel across multiple network devices, allowing the MSA to analyze the content efficiently. The identified phrases are further refined to eliminate extraneous co-occurrences, leading to the identification of trending topic phrases that can be displayed to client devices.

Career Highlights

Yun Fu is currently employed at Yahoo! Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on how content is curated and presented to users, enhancing their overall experience.

Collaborations

Yun Fu has collaborated with several talented individuals, including Zhichen Xu and Neal J Sample. These collaborations have contributed to the advancement of his projects and the successful implementation of his innovative ideas.

Conclusion

Yun Fu's contributions to technology through his patents and work at Yahoo! Inc. highlight his role as a leading inventor in the field. His innovative approaches to content personalization and trending topic detection continue to shape user experiences in the digital landscape.

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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