Inventors with similar research interests:
Location History:
- North Plainfield, NJ (US) (1988)
- Piscataway, NJ (US) (1989 - 1996)
- Morristown, NJ (US) (1996 - 1997)
- Hoboken, NJ (US) (1998 - 2005)
- Bridgewater, NJ (US) (1997 - 2016)
- Mountain View, CA (US) (2006 - 2020)
- Palo Alto, CA (US) (2008 - 2023)
Company Filing History:
34 out of 1,024 
29 out of 32,513 
10 out of 4,711 
Years Active: 1988-2023
Areas of Expertise:
Title: Innovator Spotlight: Ravi Kumar Jain - Pioneering Image Recognition-Based Content Item Selection
Introduction:
Meet Ravi Kumar Jain, a groundbreaking inventor based in Hoboken, NJ, with an impressive portfolio of 89 patents. His innovative work in image recognition-based content item selection has revolutionized the way content is presented to users.
Latest Patents:
Ravi Kumar Jain's latest patents focus on image recognition-based content item selection. These patents encompass methods, systems, and apparatus that involve computer programs stored on a computer storage medium. The process includes identifying candidate content items using image keywords derived from user-associated images, selecting a content item based on user requests, and presenting the selected content item to the user.
Career Highlights:
Throughout his career, Ravi Kumar Jain has made significant contributions to notable companies such as The Boc Group, Inc., and Google Inc. His expertise and innovative spirit have played a key role in shaping the future of technology and content delivery.
Collaborations:
Ravi Kumar Jain has had the privilege of collaborating with accomplished professionals in the industry, including Surojit Chatterjee and Toshiro Kawahara. These collaborations have led to the development of cutting-edge technologies and solutions that have greatly impacted the field of image recognition and content delivery.
Conclusion:
In conclusion, Ravi Kumar Jain's passion for innovation and his commitment to pushing the boundaries of technology have established him as a visionary inventor in the realm of image recognition-based content item selection. His relentless pursuit of excellence continues to inspire and drive advancements in the ever-evolving landscape of digital content presentation.