Nima Asgharbeygi

Title: Nima Asgharbeygi: Innovator in Real-Time Content Recommendation Systems

Introduction

Nima Asgharbeygi is a prominent inventor based in Mountain View, CA (US). He is known for his innovative contributions to technology, particularly in the field of content recommendation systems. His work has significantly impacted how content is delivered to users in real-time.

Latest Patents

Nima holds a patent for a real-time content recommendation system. This system and its methods are designed to recommend content in real-time or near real-time. The system comprises several pipelines that are updated at different frequencies, processing temporally distinct sets of web property visit data. Within each pipeline, various algorithms are employed to analyze visit data and generate content recommendations. One of the algorithms is a content filter that eliminates unsuitable recommendations from the visit data. Another is a content analyzer that categorizes and attributes the content of each URL in the visit data. Additionally, an item-to-item collaborative filter determines correlation scores for each URL based on those visited in a single session. Lastly, a device-to-item matrix factorization calculates affinity scores for each URL based on visit data, context information, and topic categories.

Career Highlights

Nima Asgharbeygi is currently associated with Google Inc., where he continues to innovate and develop advanced technologies. His work at Google has allowed him to be at the forefront of technological advancements in content delivery systems.

Collaborations

Nima has collaborated with notable colleagues, including Xiaohong Gong and Wei Zhang. Their combined expertise has contributed to the success of various projects within the company.

Conclusion

Nima Asgharbeygi's contributions to real-time content recommendation systems exemplify his innovative spirit and dedication to advancing technology. His work continues to influence how content is recommended and consumed in the digital age.