Company Filing History:
Years Active: 2017
Title: Inmar Ella Givoni: Innovator in Content-Based Similarity Detection
Introduction
Inmar Ella Givoni is an accomplished inventor based in Toronto, Canada, recognized for her innovative contributions to the field of content analysis and machine learning. With a patent to her name, she has made significant strides in developing methods for detecting similarity between textual content.
Latest Patents
Givoni's notable patent is titled "Content Based Similarity Detection." This invention outlines a computer-implemented method that computes a hash of each word in a collection of books to produce a numerical integer token using a reduced representation. The method involves calculating an Inverse Document Frequency (IDF) vector to quantify how often tokens appear across the books. Givoni's technique includes creating normalized Term Frequency-Inverse Document Frequency (TF-IDF) vectors for each book and employing random projections to obtain final signatures that represent the books. Utilizing a trained machine learning algorithm, the method assesses the similarity of candidate books to a target book, thereby enhancing text analysis capabilities.
Career Highlights
Inmar Ella Givoni currently works at Rakuten Kobo Inc., where her expertise in content analysis significantly contributes to the company's advancements in digital reading and literature. Her innovative approaches in research and application of machine learning techniques have characterized her career and opened avenues for further exploration in the realm of content detection and analysis.
Collaborations
During her tenure at Rakuten Kobo Inc., Givoni has worked alongside talented professionals, including Darius Braziunas and Jordan Christensen. These collaborations reflect a commitment to innovation and teamwork in pursuing groundbreaking solutions within the tech industry.
Conclusion
Inmar Ella Givoni stands out as a pioneering inventor in the realm of content-based similarity detection. Her patent not only showcases her technical skills and innovative mindset but also signifies her important role in the evolution of content analysis through machine learning. With her ongoing contributions and collaborations, Givoni continues to inspire and influence advancements in her field.