Company Filing History:
Years Active: 2019-2023
Title: Nadeem Anjum: Innovator in Content Notification and Predictive Systems
Introduction
Nadeem Anjum is a prominent inventor based in Santa Clara, CA (US). He has made significant contributions to the field of technology, particularly in content notification systems and predictive analytics. With a total of 6 patents to his name, Anjum continues to push the boundaries of innovation.
Latest Patents
One of Anjum's latest patents is titled "Instant content notification with user similarity." This invention provides an approximate nearest neighbor framework that queries user activity data to identify users similar to those matched to specific content. This system allows for the rapid distribution of relevant content to active users, thereby increasing the liquidity of the system. Additionally, it expands the target set of users receiving notifications, enhancing the recall rate of the content.
Another notable patent is "Predicting feature values in a matrix." This invention outlines systems and methods for predicting feature values within a multi-dimensional matrix. The server accesses the matrix, separates it into submatrices, and computes correlations to predict values for preselected features. This innovative approach allows for more accurate predictions based on existing data.
Career Highlights
Nadeem Anjum is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in technology and innovation. His work has significantly impacted the way content is delivered and analyzed in digital environments.
Collaborations
Anjum has collaborated with notable colleagues, including Benjamin John McCann and Jerry Lin. Their combined efforts contribute to the advancement of technology and innovation within their field.
Conclusion
Nadeem Anjum is a distinguished inventor whose work in content notification and predictive systems has garnered attention in the tech industry. His innovative patents reflect a commitment to enhancing user experience and data analysis.
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