Melrose, MA, United States of America

Ned Rhinelander

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • San Francisco, CA (US) (2013)
  • Melrose, MA (US) (2015)

Company Filing History:


Years Active: 2013-2015

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2 patents (USPTO):Explore Patents

Title: Ned Rhinelander: Innovator in Content Clustering Technologies

Introduction

Ned Rhinelander is a notable inventor based in Melrose, MA (US). He has made significant contributions to the field of content clustering, holding a total of 2 patents. His work focuses on developing systems and methods that enhance the organization and retrieval of similar content.

Latest Patents

Ned's latest patents include a system and method for clustering content according to similarity. This innovative approach identifies and groups similar content using a set of tags associated with the content. A topic model of a group of content is built, producing a probability distribution of topic membership for the content. Individual items of content are then clustered using a clustering algorithm, and a distance matrix from the probability distribution is constructed. Based on this distance matrix, individual items of content are labeled as 'must-link' or 'cannot-link' pairs with the group of content. The topic model is then embedded into successively smaller dimensions using a kernel method, until the clustering is stable with respect to both the behavioral and content domains.

Career Highlights

Ned Rhinelander is currently employed at CBS Interactive, Inc., where he continues to innovate in the field of content clustering. His work has been instrumental in advancing the methodologies used for organizing digital content.

Collaborations

Ned collaborates with Clifford Lyon, contributing to the development of cutting-edge technologies in their field.

Conclusion

Ned Rhinelander's contributions to content clustering technologies demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of the complexities involved in organizing digital content effectively.

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