Redwood Shores, CA, United States of America

Gordon Sun

USPTO Granted Patents = 7 

Average Co-Inventor Count = 3.0

ph-index = 4

Forward Citations = 279(Granted Patents)


Company Filing History:


Years Active: 2006-2013

where 'Filed Patents' based on already Granted Patents

7 patents (USPTO):

Title: Innovations by Gordon Sun

Introduction

Gordon Sun is a prominent inventor based in Redwood Shores, CA. He has made significant contributions to the field of information retrieval, holding a total of seven patents. His work focuses on enhancing the relevance of content items in response to user queries through advanced machine learning techniques.

Latest Patents

One of Gordon Sun's latest patents is titled "Learning retrieval functions incorporating query differentiation for information retrieval." This innovative system and method allow for the determination of the relevance of a content item to a query by utilizing a machine-learned relevance function that incorporates query differentiation. The method involves generating a training set comprising one or more content item-query pairs. These pairs are collectively used to determine the relevance function by minimizing a loss function according to a relevance score adjustment function that accounts for query differentiation. The monotonicity of the relevance score adjustment function enables the trained relevance function to be directly applied to new queries.

Career Highlights

Gordon Sun is currently employed at Yahoo! Inc., where he continues to develop cutting-edge technologies in the realm of information retrieval. His expertise in machine learning and relevance functions has positioned him as a key player in his field.

Collaborations

Gordon has collaborated with notable colleagues, including Hongyuan Zha and Zhaohui Zheng. Their combined efforts contribute to the advancement of innovative solutions in information retrieval.

Conclusion

Gordon Sun's work exemplifies the intersection of technology and innovation, particularly in the area of information retrieval. His patents reflect a commitment to improving user experience through enhanced relevance in query responses.

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