Givatayim, Israel

Efrat Farkash

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Google Inc.. Active years: 2017-2019.

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2017-2019

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2 patents (USPTO):Explore Patents

Title: Efrat Farkash: Innovator in Data Estimation Technologies

Introduction

Efrat Farkash is a notable inventor based in Givataym, Israel. She has made significant contributions to the field of data estimation technologies, holding 2 patents that showcase her innovative approach to solving complex problems in data analysis.

Latest Patents

One of Efrat's latest patents involves providing an explanation of a missing fact estimate. This patent discloses systems and methods for offering an explanation of an estimate for information that is missing from a data graph. The method includes receiving a query that requests information for a first entity and receiving an estimate for that information, which is based on a plurality of features of a joint distribution model. The process involves determining respective contribution scores for the features, selecting those with the highest scores, and generating an explanation for the estimate. This explanation is then provided as part of a search result for the query.

Career Highlights

Efrat Farkash is currently employed at Google Inc., where she continues to develop innovative solutions in her field. Her work has garnered attention for its practical applications and contributions to data science.

Collaborations

Efrat has collaborated with notable colleagues, including Gal Chechik and Yaniv Leviathan, who have contributed to her projects and innovations.

Conclusion

Efrat Farkash is a pioneering inventor whose work in data estimation technologies is making a significant impact. Her patents reflect her commitment to advancing the field and providing valuable solutions for data analysis challenges.

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