首页|Researchers Submit Patent Application, "Global Embedding Learning From Different Modalities", for Approval (USPTO 20240153246)
Researchers Submit Patent Application, "Global Embedding Learning From Different Modalities", for Approval (USPTO 20240153246)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Dahlmann, Friedrich Leonar d (Aachen, DE); Hewavitharana, Sanjika (San Jose, CA, US); Khadivi, Shahram (Her zogenrath, DE); Kozielski, Michael Damian (Aachen, DE); Liao, Baohao (Aachen, DE ), filed on November 8, 2022, was made available online on May 9, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "A platform of an online marketplace often permits sellers to provide a description of an item being listed for sale. An item may refer to a product with a particular set of unique properties. When a prospective buyer i nitiates a product search, the platform (e.g., a search platform) of the online marketplace identifies a set of item listings that match the product search, and transfers the listings of the items available for sale for presentation to the prospective buyer. A browser may present to the seller, a digital form for input ting attributes related to a listing. In some instances, conventional text descr iptions may be missing words or key terms. Accordingly, the platform of the onli ne marketplace may return listings that are unrelated or otherwise categorized d ifferently than a desired listing."
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