Company Filing History:

19 out of 54,789

Microsoft Technology Licensing, LLC

patents

2 out of 22,593

Amazon Technologies, Inc.

patents

Years Active: 2002-2018

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21 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 10102547 - Deal scheduling based on user location predictions (2018-10-16),

2. 9009093 - Deal scheduling based on user location predictions (2015-04-14),

3. 8024302 - Meta data management for media content objects (2011-09-20),

4. 7734800 - Multimedia timeline modification in networked client/server systems (2010-06-08),

5. 7565440 - Live presentation searching (2009-07-21),

6. 7472198 - Media file format to support switching between multiple timeline-altered media streams (2008-12-30),

7. 7305384 - Live presentation searching (2007-12-04),

8. 7302490 - Media file format to support switching between multiple timeline-altered media streams (2007-11-27),

9. 7243140 - Multi-level skimming of multimedia content using playlists (2007-07-10),

10. 7237254 - Seamless switching between different playback speeds of time-scale modified data streams (2007-06-26),

11. 7191190 - Meta data management for media content objects (2007-03-13),

12. 7149359 - Searching and recording media streams (2006-12-12),

13. 7096271 - Managing timeline modification and synchronization of multiple media streams in networked client/server systems (2006-08-22),

14. 7076535 - Multi-level skimming of multimedia content using playlists (2006-07-11),

15. 7069311 - Multi-level skimming of multimedia content using playlists (2006-06-27),

Title: Innovations by Nosakhare D Omoigui in Location-Based Deal Scheduling

Introduction

Nosakhare D Omoigui, based in Redmond, WA, is an accomplished inventor with a total of 21 patents to his name. His innovative work primarily focuses on enhancing user experiences through technology, particularly in the realm of location-based services.

Latest Patents

One of his latest patents is centered around "Deal scheduling based on user location predictions." This invention describes techniques for scheduling deals by predicting user locations. A service provider can aggregate location data from multiple users, utilizing check-in information shared via location-based services. The aggregated data assists in predicting future user traffic in geographical areas linked to specific deals or merchants. The system can determine when to offer discounts on items, optimizing the timing and value of deals typically offered over limited periods, such as hours, days, or weeks.

Career Highlights

Throughout his career, Nosakhare has contributed his expertise to notable companies, including Microsoft Technology Licensing and Amazon Technologies. His role in these organizations has been pivotal in developing innovative technologies that leverage location data for improved consumer engagement.

Collaborations

Nosakhare has collaborated with esteemed professionals in the field, including Anoop Gupta and Li-wei He. These collaborations have likely enriched his research and development efforts, allowing for a convergence of ideas that drive innovation in location-based technologies.

Conclusion

Nosakhare D Omoigui stands out as a significant contributor to the field of innovation, particularly in the effective utilization of location data for user-focused solutions. His 21 patents, including cutting-edge techniques for deal scheduling, reflect his commitment to enhancing the user experience in digital commerce. As technology continues to evolve, Omoigui's contributions will undoubtedly play a crucial role in shaping future innovations.

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