Company Filing History:
Years Active: 2020-2024
Title: Innovations of Raviteja Lokineni
Introduction
Raviteja Lokineni is an accomplished inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of technology, particularly in the area of recommendation systems. With a total of three patents to his name, Lokineni's work focuses on enhancing user experience through personalized content delivery.
Latest Patents
One of Lokineni's latest patents is a recommendation system designed to provide personalized and mixed content on a user interface based on content and user similarity. This innovative system includes a content similarity analyzer that determines a first set of content item identifiers similar to a set of viewed content items based on respective similarity scores. It also features a similar user content extraction module that identifies a set of similar user identifiers from a user similarity database. This module obtains a second set of content item identifiers based on the viewing histories of the users and adds them to the first list. Furthermore, the recommendation system incorporates a content filter that selects a subset of content item identifiers from the first list based on the corresponding similarity scores. This subset is then transmitted for display via a web portal on a user interface of a first user device.
Career Highlights
Throughout his career, Raviteja Lokineni has worked with notable companies such as TD Ameritrade IP Company, Inc. and Charles Schwab & Company, Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions in the financial technology sector.
Collaborations
Some of Lokineni's coworkers include Logan Sommers Ahlstrom and Ravindra Reddy Tappeta Venkata. Their collaboration has likely fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Raviteja Lokineni's contributions to the field of technology, particularly through his innovative recommendation systems, highlight his role as a significant inventor. His work continues to influence how personalized content is delivered to users, enhancing their overall experience.