This inventor holds 3 USPTO granted patents. Top assignees: Microsoft Technology Licensing, LLC, Palo Alto Research Center Inc., Xerox Corporation. Active years: 2009-2012.
Company Filing History:
1 out of 56,194 
1 out of 2,079 
1 out of 24,257 
Years Active: 2009-2012
Title: Irina Matveeva: Innovator in Semantic Analysis and Ranking Systems
Introduction
Irina Matveeva is a prominent inventor based in Chicago, IL (US), known for her contributions to the fields of semantic analysis and ranking systems. With a total of 3 patents, she has made significant strides in enhancing document processing and information retrieval.
Latest Patents
One of her latest patents is titled "Generalized Latent Semantic Analysis." This invention provides a system that builds an association tensor to facilitate document and word-level processing operations. The system utilizes terms from a collection of documents to create an association tensor, which contains values representing pair-wise similarities between terms. If a value in the tensor is calculated based on insufficient samples, the system substitutes it with a corresponding value from a reference document collection. After obtaining the association tensor, a dimensionality reduction method is applied to compute a low-dimensional vector space representation for vocabulary terms, allowing for efficient document vector computation.
Another notable patent is "Ranking Results Using Multiple Nested Ranking." This unique system and method improve the ranking of items by re-ranking decreasing subsets of high-ranked items in separate stages. A basic ranking component initially ranks a set of items, and a subset of the top-ranking items is used as a new training set to enhance the ranking among these documents. This iterative process allows for the reordering of high-ranked items, ensuring that the most relevant items appear at the top of search results.
Career Highlights
Irina has worked with notable companies such as Microsoft Technology Licensing, LLC and Xerox Corporation. Her experience in these organizations has contributed to her expertise in developing innovative solutions in her field.
Collaborations
Some of her coworkers include Christopher J Burges and Leon C W Wong, who have collaborated with her on various projects, further enriching her professional journey.
Conclusion
Irina Matveeva's work in semantic analysis and ranking systems showcases her innovative spirit and dedication to advancing technology. Her patents reflect her commitment to improving information processing and retrieval, making her a significant figure in her field.