Gaurush Hiranandani

Title: Gaurush Hiranandani: Innovator in Recommendation Systems

Introduction

Gaurush Hiranandani is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of recommendation systems, holding two patents that showcase his innovative approach to utilizing complex data for enhanced user experiences.

Latest Patents

Hiranandani's latest patents include a "Multiple-entity-based recommendation system" and a "Message recommendation system." Both patents focus on systems and methods for entity recommendation that leverage rich data. These systems allow items to be recommended and recipients of the recommendation, such as users, to be modeled as 'complex entities.' This modeling incorporates one or more static sub-entities and/or a dynamic component. The patents utilize information about multiple relationships between the sub-entities, as reflected in bipartite graphs. Generating recommendations involves creating vector representations of the sub-entities based on these bipartite graphs, often using graph-based convolutional networks. These vector representations are then combined into representations of the items and users to be fed into a classifier model.

Career Highlights

Gaurush Hiranandani is currently employed at Microsoft Technology Licensing, LLC. His work focuses on advancing the capabilities of recommendation systems, which are crucial in various applications across technology platforms.

Collaborations

Some of Hiranandani's coworkers include Lekshmi Menon and Amar Budhiraja. Their collaborative efforts contribute to the innovative environment at Microsoft Technology Licensing, LLC.

Conclusion

Gaurush Hiranandani is a prominent inventor whose work in recommendation systems has the potential to transform how users interact with technology. His patents reflect a deep understanding of complex data relationships and innovative modeling techniques.