Kirkland, WA, United States of America

Christopher J Mallery

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024.


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Christopher J Mallery: Innovator in Content Recommendation Systems

Introduction

Christopher J Mallery is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of content recommendation systems, particularly through his innovative patent. His work focuses on enhancing user experience by providing tailored content recommendations.

Latest Patents

Mallery holds a patent for a "Multi-content recommendation system combining user model, item model and real-time signals." This patent describes methods, systems, apparatuses, and computer program products designed to provide content recommendations to a requestor. The system involves storing user event records associated with media items and content types in an event catalog. It generates user scores based on a user-content score model and user event records, representing the affinity between users and various content types. Additionally, title scores are generated for media items, reflecting their affinity with corresponding content types. The combination of these scores allows for the generation of personalized content recommendations.

Career Highlights

Christopher J Mallery is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate in the realm of technology and content delivery. His work has been instrumental in developing systems that enhance user engagement and satisfaction.

Collaborations

Mallery has collaborated with talented individuals such as Danilo Landucci Benzatti and Rajasi Saha, contributing to the advancement of technology in content recommendation systems.

Conclusion

Christopher J Mallery is a prominent inventor whose work in content recommendation systems has the potential to transform how users interact with media. His innovative approaches and collaborations highlight his commitment to enhancing user experiences through technology.

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