Alexander Lorbert

Title: Innovations of Alexander Lorbert

Introduction

Alexander Lorbert is an accomplished inventor based in Giv'at-Shmuel, Israel. He holds a total of six patents, showcasing his expertise in the field of technology and fashion. His innovative work primarily focuses on utilizing machine learning techniques to enhance outfit recommendations.

Latest Patents

Among his latest patents, Lorbert has developed techniques for real-time interactive outfit recommendations. These techniques involve the use of a recurrent neural network to display outfit suggestions based on various fashion items. The process begins with a computing device receiving a state vector that represents an outfit. It then analyzes image data of additional fashion items to generate output feature vectors. By comparing these vectors to others in the same category, the system can recommend a set of fashion items tailored to the user's preferences. Another notable patent is the attribute-aware outfit recommendation, which employs similar methods to enhance the personalization of fashion suggestions.

Career Highlights

Throughout his career, Alexander Lorbert has worked with prominent companies such as Amazon Technologies, Inc. and Superfish Ltd. His experience in these organizations has contributed significantly to his development as an inventor and innovator in the tech industry.

Collaborations

Some of his notable coworkers include Arik Poznanski and Michael Chertok, who have collaborated with him on various projects.

Conclusion

Alexander Lorbert's contributions to the field of fashion technology through his innovative patents demonstrate his commitment to enhancing user experience in outfit selection. His work continues to influence the intersection of fashion and technology.