Redmond, WA, United States of America

Kristina Nikolova Toutanova

This inventor holds 14 USPTO granted patents and 7 published patent applications, primarily in Natural Language Processing. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2010-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kristina Nikolova Toutanova. Retrieved from https://idiyas.com/inventor/kristina-nikolova-toutanova

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 14 

% Patents Active = 64.3

Average Co-Inventor Count = 3.1

ph-index = 5

Forward Citations = 69(Granted Patents)


Location History:

  • Redmond, VA (US) (2012)
  • Redmond, WA (US) (2010 - 2020)

Company Filing History:


Years Active: 2010-2020

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Areas of Expertise:
Microtasks
Sentiment Recommendations
Graph Long Short Term Memory
Semantic Parsing
Facet Recommendations
Machine Translation
Latent Semantic Model
Unsupervised Learning
Word Segmentation
Syntactic Word Order
Part-of-Speech Tagging
Natural Language Generation
14 patents (USPTO):Explore Patents

Title: Innovations of Kristina Nikolova Toutanova

Introduction

Kristina Nikolova Toutanova is a prominent inventor based in Redmond, WA (US). She has made significant contributions to the field of technology, holding a total of 14 patents. Her work focuses on enhancing user experiences through innovative applications and systems.

Latest Patents

One of her latest patents is titled "Providing rewards and metrics for completion of microtasks." This invention allows users to complete edits on content items, such as documents, by breaking them down into manageable microtasks. These microtasks can be identified automatically or manually, and users can complete them using a smartphone or tablet application. The application gamifies the process, enabling users to compete based on metrics like the number of microtasks completed or the fastest completion time. Users can also earn rewards such as badges, coupons, or credits, transforming potentially wasted time into productive activity.

Another notable patent is "Sentiment-based recommendations as a function of grounding factors associated with a user." This invention features a 'Facet Recommender' that generates conversational recommendations based on consumer reviews and social media content. By applying machine learning, the Facet Recommender identifies facets of conversational topics and assesses consumer sentiment. It then generates personalized conversational utterances that fit predefined frameworks, enhancing user interaction.

Career Highlights

Kristina is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate and develop new technologies. Her work has significantly impacted the way users interact with content and technology.

Collaborations

She has collaborated with notable colleagues, including Hoifung Poon and Pallavi Choudhury, contributing to a dynamic and innovative work environment.

Conclusion

Kristina Nikolova Toutanova's contributions to technology through her patents and innovative ideas demonstrate her commitment to enhancing user experiences. Her work continues to influence the field and inspire future innovations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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