Taesik Na

USPTO Granted Patents = 12 (Patent Applications = 20)

EPO Patents = 2

Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 1(Granted Patents)

Location History:

Sammamish, WA (US) (2023)
Issaquah, WA (US) (2022 - 2024)

Company Filing History:

Microsoft Technology Licensing, LLC

patents

Years Active: 2022-2025

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12 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12450277 - False negative prediction for training a machine-learning model (2025-10-21),

2. 12373446 - Search engine for recommending search queries based on user interactions using a transformer-based language model (2025-07-29),

3. 12367220 - Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries (2025-07-22),

4. 12314286 - Distributed approximate nearest neighbor service architecture for retrieving items in an embedding space (2025-05-27),

5. 12287819 - Machine learned models for search and recommendations (2025-04-29),

6. 12266006 - Providing and displaying search results in response to a query (2025-04-01),

7. 12259894 - Accounting for item attributes when selecting items satisfying a query based on item embeddings and an embedding for the query (2025-03-25),

8. 12222937 - Training a machine learned model to determine relevance of items to a query using different sets of training data from a common domain (2025-02-11),

9. 12026180 - Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries (2024-07-02),

10. 11853897 - Neural network training with decreased memory consumption and processor utilization (2023-12-26),

11. 11676003 - Training neural network accelerators using mixed precision data formats (2023-06-13),

12. 11526761 - Neural network training with decreased memory consumption and processor utilization (2022-12-13),

Title: The Innovations of Taesik Na: A Pioneer in Search Technology

Introduction

Taesik Na is an accomplished inventor based in Issaquah, WA, with an impressive portfolio of 11 patents. His work primarily focuses on enhancing user interactions within search engine technologies, making significant contributions to how queries are processed and presented.

Latest Patents

Among his latest innovations is a patent for a search engine designed to recommend search queries based on user interactions, utilizing a transformer-based language model. This online system provides a user-friendly search interface that presents suggested queries, allowing users to select from recommendations rather than manually inputting search terms. By generating relevance scores for candidate search queries through a trained model, the platform can effectively rank and display these suggestions based on the user's previous interactions.

Another notable patent involves clustering data related to user interactions post-query receipt, which enhances the display of items satisfying search queries. This system predicts the likelihood of user interactions with displayed items by analyzing embeddings from previous queries and utilizing similarity measures to cluster them. By combining historical interactions in a cluster, the system improves the accuracy of item recommendations associated with specific queries.

Career Highlights

Taesik Na has made significant strides in the tech industry through his work at prominent companies such as Maplebear Inc. and Microsoft Technology Licensing, LLC. His experience in leading technology firms has played a crucial role in shaping his inventive approach to search engines and user experience.

Collaborations

Throughout his career, Taesik has collaborated with talented professionals in the field, including Haixun Wang and Tejaswi Tenneti. These partnerships have likely fostered a rich environment for innovative thinking and problem-solving.

Conclusion

In summary, Taesik Na is a remarkable inventor whose contributions to search technology have transformed user interaction experiences. With a robust portfolio of patents and collaborative efforts within the technology sector, he continues to shape the future of information retrieval and user engagement.

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20 patents pending:

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2 patents (EPO):

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