Markus Anderle

Title: Innovations by Inventor Markus Anderle

Introduction

Markus Anderle is a notable inventor based in Moraga, California. He has made significant contributions to the field of machine learning and recommendation systems. With a total of two patents to his name, his work focuses on enhancing the accuracy and explainability of recommendations.

Latest Patents

One of Markus Anderle's latest patents is titled "Diversity and explainability parameters for recommendation accuracy in machine learning recommendation systems." This invention is directed towards a machine learning recommendation system that generates recommendations for items based on user queries. The system utilizes first features of users and second features of items to determine predicted scores and explainability scores, ultimately providing recommendations along with corresponding explanation narratives.

Another significant patent is "Systems and methods for next basket recommendation with dynamic attributes modeling." This invention describes an attentive network framework that models dynamic attributes through item and feature interactions. It captures seasonal patterns in user preferences, applying time-level attention modules to analyze basket items and user attributes. This innovative approach enhances the recommendation process by considering temporal sequential patterns.

Career Highlights

Markus Anderle has worked with prominent companies such as Salesforce, Inc. and Salesforce.com, Inc. His experience in these organizations has contributed to his expertise in developing advanced machine learning systems.

Collaborations

Throughout his career, Markus has collaborated with talented individuals, including Jia Li and Chenxi Li. These collaborations have likely enriched his work and led to innovative solutions in the field.

Conclusion

Markus Anderle's contributions to machine learning and recommendation systems demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to improving user experience through advanced technology.