Mountain View, CA, United States of America

Shane Lin

USPTO Granted Patents = 5 

Average Co-Inventor Count = 11.9

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • San Jose, CA (US) (2020)
  • Mountain View, CA (US) (2021 - 2023)

Company Filing History:


Years Active: 2020-2023

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5 patents (USPTO):

Title: Shane Lin: Innovator in Nuanced-Color Search Technology

Introduction

Shane Lin is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of technology, particularly in the area of search and recommendation systems. With a total of 5 patents to his name, Shane continues to push the boundaries of innovation.

Latest Patents

One of Shane Lin's latest patents is a nuanced-color search and recommendation system. This invention provides systems, methods, and computer storage media for implementing an advanced search engine tailored for categorizable items. The system generates accurate color-based search results and recommendations that are relevant to a nuanced color provided as a search parameter. By analyzing digital assets that depict categorizable items, the system characterizes these items based on a particular shade of a determined dominant color. This allows for effective searching based on selected shades, leading to primary search results. Additionally, the system can recommend other categorizable items that complement the primary search results, enhancing the user experience.

Career Highlights

Shane Lin is currently employed at eBay, Incorporated, where he applies his expertise in developing innovative solutions. His work focuses on improving search functionalities and enhancing user interactions through advanced technology.

Collaborations

Shane collaborates with talented individuals such as John Weigel and Padmapriya Gudipati, who contribute to the innovative environment at eBay.

Conclusion

Shane Lin's work in nuanced-color search technology exemplifies the impact of innovation in enhancing user experiences. His contributions continue to shape the future of search and recommendation systems.

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