Patents by Inventor Paul Baltescu

Paul Baltescu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230252550
    Abstract: Described are systems and methods for providing a multi-tasked trained machine learning model that may be configured to generate product embeddings from multiple types of product information. The exemplary product embeddings may be generated for a corpus of products (e.g., products included in a product catalog, etc.) based on both image information and text information associated with each respective product. Accordingly, the generated product embeddings may be compatible with learned representations of the different types of product information (e.g., image information, text information, etc.) and may be used to create a product index, which can be used to determine and serve product recommendations in connection with multiple different recommendation services that may be configured to receive different types of inputs (e.g., a single image, multiple images, text-based information, etc.).
    Type: Application
    Filed: February 9, 2023
    Publication date: August 10, 2023
    Applicant: Pinterest, Inc.
    Inventors: Paul Baltescu, Andrew Huan Zhai, Haoyu Chen, Jurij Leskovec, Nikil Pancha, Charles Joseph Rosenberg