Dvir Ginzburg

Title: Dvir Ginzburg: Innovator in Document Similarity Systems

Introduction

Dvir Ginzburg is a notable inventor based in Tel Aviv, Israel. He has made significant contributions to the field of document similarity systems, holding a total of 3 patents. His work focuses on enhancing the way documents are analyzed and compared using advanced language models.

Latest Patents

One of Dvir's latest patents is a self-supervised document-to-document similarity system. This innovative system provides a self-supervised language model for scoring and ranking long documents of arbitrary length without the need for similarity labels. In the first stage of a two-staged hierarchical scoring, a sentence similarity matrix is created for each paragraph in the candidate document. A sentence similarity score is calculated based on this matrix. The second stage involves constructing a paragraph similarity matrix based on aggregated sentence similarity scores. Ultimately, a total similarity score for the document is calculated by normalizing the paragraph similarity matrix for each candidate document in a collection. The model is trained using a masked language model and intra-and-inter document sampling, allowing for effective ranking based on similarity scores.

Another significant patent by Dvir is focused on interpreting text-based similarity. This system analyzes similarity scores and contextual paragraph representations to generate gradient maps and word scores that represent text-based descriptions of both a seed item and a recommended item. By matching words from the seed item description with those in the recommended item description that have similar semantic meanings, the system identifies word-pairs with the greatest influence over the selection of the recommended item.

Career Highlights

Dvir Ginzburg is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of document analysis and similarity scoring. His work has the potential to transform how information is processed and understood in various applications.

Collaborations

Dvir has collaborated with notable colleagues such as Itzik Malkiel and Noam Koenigstein, contributing to a dynamic and innovative work environment.

Conclusion

Dvir Ginzburg's contributions to document similarity systems exemplify the impact of innovative thinking in technology. His patents reflect a deep understanding of language models and their applications in real-world scenarios.