Patrick Cashman Andrus is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of technology, particularly in developing systems that enhance user experience through innovative product recommendations. With a total of 3 patents to his name, Andrus continues to push the boundaries of what is possible in electronic product advising.

Latest Patents

One of his latest patents is a "System and method for an electronic product advisor." This system operates on a client device and acquires a suspect list of user products based on information derived from the client device. The system normalizes the list, allowing the user to confirm the accuracy of the product list. Once confirmed, the user product list is sent to a server where it is compared to other lists using collaborative filtering techniques. These techniques determine products of interest for the user and assess their level of interest. The system computes a similarity measure based on the number of similar products that match the user's product list and the rankings provided by the user and others. Additionally, demographic and behavioral data may be utilized in performing the comparison and the similarity measure. The system also acquires editorial rankings of products from other users, providing a ranked list of recommended products based on these editorial rankings.

Career Highlights

Patrick Andrus is currently employed at CBS Interactive, Inc., where he continues to innovate and develop new technologies. His work focuses on enhancing user interaction with electronic products, making technology more accessible and user-friendly.

Collaborations

Throughout his career, Andrus has collaborated with talented individuals such as Greg Kasavin and Scott Bedard. These collaborations have contributed to the development of innovative solutions in the tech industry.

Conclusion

Patrick Cashman Andrus is a forward-thinking inventor whose work in electronic product advising is shaping the future of technology. His patents reflect a commitment to improving user experience and leveraging data to provide personalized recommendations.