Makoto Yomosa

Title: Makoto Yomosa: Innovator in Network Rating Prediction Technology

Introduction

Makoto Yomosa is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of technology, particularly in the area of network rating prediction engines. His innovative work has the potential to enhance how ratings are predicted and analyzed based on user-generated content.

Latest Patents

Makoto Yomosa holds a patent for a "Network Rating Prediction Engine." This engine builds and applies models to predict ratings by analyzing textual reviews and comments. It utilizes deep convolutional neural networks (CNNs) to build multiple models simultaneously through distributed parallel model building. The engine also incorporates user moment feature data, including user status and context information, to improve performance and accuracy in predictions. Additionally, it employs heuristic unsupervised pre-training and adaptive over-fitting reduction techniques for model building. This technology can be particularly useful in predicting personalized ratings for reviews or other published items, especially when the original author did not include a rating.

Career Highlights

Makoto Yomosa is currently employed at Accenture Global Solutions Limited, where he continues to innovate and develop cutting-edge technologies. His work at Accenture has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Congwei Dang and Takuya Kudo, who contribute to the innovative environment at Accenture.

Conclusion

Makoto Yomosa's contributions to network rating prediction technology exemplify the impact of innovative thinking in the tech industry. His work not only advances the field but also enhances user experiences in digital platforms.