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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Dan Shacham

USPTO Granted Patents = 18 

Average Co-Inventor Count = 2.8

ph-index = 3

Forward Citations = 24(Granted Patents)


Location History:

  • Cupertino, CA (US) (2021)
  • Sunnyvale, CA (US) (2018 - 2023)

Company Filing History:

goldMedal18 out of 54,719 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2018-2025

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18 patents (USPTO):Explore Patents
1. 12229669 - Techniques for improving standardized data accuracy (2025-02-18),
2. 11610109 - Language agnostic machine learning model for title standardization (2023-03-21),
3. 11436532 - Identifying duplicate entities (2022-09-06),
4. 11188992 - Inferring appropriate courses for recommendation based on member characteristics (2021-11-30),
5. 11188823 - Training a neural network using another neural network (2021-11-30),
6. 10896384 - Modification of base distance representation using dynamic objective (2021-01-19),
7. 10885593 - Hybrid classification system (2021-01-05),
8. 10726355 - Parent company industry classifier (2020-07-28),
9. 10586157 - Skill-based title prediction model (2020-03-10),
10. 10459901 - Embedded deep representation of social network taxonomy (2019-10-29),
11. 10380480 - Changeover from one neural network to another neural network (2019-08-13),
12. 10380458 - Cold start machine learning algorithm (2019-08-13),
13. 10339612 - Multi-dimensional job title logical models for social network members (2019-07-02),
14. 10255586 - Deriving multi-level seniority of social network members (2019-04-09),
15. 10043254 - Optimal image transformation based on professionalism score of subject (2018-08-07),

Title: Innovator Spotlight: Dan Shacham

Introduction: Dan Shacham, based in Sunnyvale, CA, is a prominent inventor and holds an impressive portfolio of 18 patents. His work focuses primarily on techniques related to data accuracy and machine learning, making significant contributions to the fields of technology and data science.

Latest Patents: Among his latest patents, Dan has pioneered methods for improving standardized data accuracy. One notable innovation is a technique for mapping the raw text of job titles from online job postings to entity embeddings, which are aligned with a title taxonomy. This complex process utilizes a multilingual word embedding space to generate a vector representation of job titles while leveraging neural networks for efficient translation to an entity embedding space. Furthermore, his work includes a language-agnostic machine learning model for title standardization. This model is capable of producing standardized titles for various languages without the need for prior language identification, showcasing the adaptability and efficiency of his approach.

Career Highlights: Dan plays a vital role at Microsoft Technology Licensing, LLC, where he applies his expertise in data analysis and machine learning to revolutionize how job titles are standardized across platforms. His innovative solutions have made significant impacts in improving data accuracy and efficiency within the tech industry.

Collaborations: Throughout his career, Dan has collaborated with esteemed colleagues such as Uri Merhav and Peide Zhong. Their combined efforts have further advanced the body of work surrounding data science and machine learning, fostering an environment of innovation within their organization.

Conclusion: Dan Shacham exemplifies the innovative spirit of today's technology landscape through his dedication to improving data accuracy and machine learning methodologies. With 18 patents to his name and ongoing collaborations with talented individuals, Dan continues to push the boundaries of what is possible in the tech industry.

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