Average Co-Inventor Count = 3.0

ph-index = 9

Forward Citations = 341(Granted Patents)

Location History:

Stanford, CA (US) (2000)
Oaklane, CA (US) (2012)
Palo Alto, CA (US) (2003 - 2015)
Oakland, CA (US) (2011 - 2021)

Company Filing History:

24 out of 27,394

Hewlett-packard Development Company, L.p.

patents

3 out of 5,249

Hewlett Packard Enterprise Development LP

Hewlett-packard Development, L.p.

Years Active: 2000-2021

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32 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11030668 - System and method for making a recommendation based on user data (2021-06-08),

2. 9858318 - Managing data entities using collaborative filtering (2018-01-02),

3. 9633117 - System and method for making a recommendation based on user data (2017-04-25),

4. 9356849 - Population category hierarchies (2016-05-31),

5. 9256692 - Clickstreams and website classification (2016-02-09),

6. 9213767 - Method and system for characterizing web content (2015-12-15),

7. 9053458 - System and method for profiling clients within a system for harvesting community knowledge (2015-06-09),

8. 9047606 - Social and contextual recommendations (2015-06-02),

9. 8954893 - Visually representing a hierarchy of category nodes (2015-02-10),

10. 8954451 - Selecting microblog entries based on web pages, via path similarity within hierarchy of categories (2015-02-10),

11. 8799501 - System and method for anonymously sharing and scoring information pointers, within a system for harvesting community knowledge (2014-08-05),

12. 8667103 - System and method for message traffic analysis, categorization, and reporting, within a system for harvesting community knowledge (2014-03-04),

13. 8661042 - Collaborative filtering with hashing (2014-02-25),

14. 8631017 - Collaborative filtering with hashing (2014-01-14),

15. 8374982 - System and method for constructing forecast models (2013-02-12),

Title: Innovations by Rajan Mathew Lukose: A Pioneer in Recommendation Systems

Introduction

Rajan Mathew Lukose, based in Palo Alto, California, is a prominent inventor renowned for his innovative contributions to technology. With an impressive portfolio of 32 patents, his work primarily focuses on enhancing user experience through data-driven recommendations and collaborative filtering.

Latest Patents

Among his latest inventions is a unique system and method for making a recommendation based on user data. This system provides insightful recommendations despite sparse data patterns, enabling the determination of item preferences based on user interaction. His exemplary method also predicts user preferences by assessing the likelihood of users favoring a particular item, making it a groundbreaking tool in personalized recommendations.

Additionally, Lukose has developed a method for managing data entities using collaborative filtering. This approach collects transaction data from multiple users and identifies similarities among data entities. By ranking these entities while considering their popularity, the method presents tailored recommendations to users, enhancing their selection process.

Career Highlights

Rajan Mathew Lukose has made significant strides in his career, having worked for leading technology companies such as Hewlett-Packard Development Company, L.P., and Hewlett Packard Enterprise Development LP. His tenure at these firms has positioned him at the forefront of technological advancements in the field of data analytics and user-oriented solutions.

Collaborations

Throughout his career, Lukose has collaborated with noteworthy professionals in the industry, including Martin B. Scholz and Joshua Rogers Tyler. Together, they have contributed to the development of innovative technologies that strive to optimize user interactions through effective data management.

Conclusion

Rajan Mathew Lukose stands as a testament to the power of innovation within the technology sector. His patents reflect a deep understanding of user needs and an ability to create systems that anticipate and fulfill those needs efficiently. As he continues to push the boundaries of technology, his work undoubtedly paves the way for future advancements in user experience and data utilization.

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