Aniruddha Das

Title: Aniruddha Das - Innovator in Personalized Retrieval Systems

Aniruddha Das is a notable inventor based in Newark, CA (US). He has made significant contributions to the field of technology, particularly in the area of personalized retrieval systems. His innovative approach utilizes advanced machine learning techniques to enhance user experience in item retrieval.

Latest Patents

Aniruddha Das holds a patent for a "Personalized retrieval system." This invention discloses system, method, and/or computer program product embodiments that retrieve items for a user based on a query using a two-tower deep machine learning model. An example embodiment provides input to a context tower, wherein the input includes the query and one or more of a query embedding corresponding to the query or a graph user embedding corresponding to the user. The context tower generates a context embedding in a vector space based on the input. The model determines a measure of similarity between the context embedding and each of a plurality of item embeddings in the vector space that are generated by an item tower and represent a plurality of candidate items. A relevancy score is calculated for each candidate item based on the measure of similarity between the context embedding and the corresponding item embedding. The relevancy scores are used for item retrieval and/or ranking.

Career Highlights

Aniruddha Das is currently employed at Roku, Inc., where he continues to develop innovative solutions that enhance the functionality of retrieval systems. His work is characterized by a commitment to leveraging technology to improve user interactions with digital content.

Collaborations

Aniruddha has collaborated with talented individuals such as Kapil Kumar and Abhishek Majumdar. These collaborations have contributed to the advancement of his projects and the successful implementation of innovative ideas.

Conclusion

Aniruddha Das is a prominent inventor whose work in personalized retrieval systems showcases the potential of machine learning in enhancing user experiences. His contributions to technology are noteworthy and reflect a dedication to innovation.