首页|Patent Issued for Increasing user interaction with deep learning agent (USPTO 11900110)
Patent Issued for Increasing user interaction with deep learning agent (USPTO 11900110)
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According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Golding, Paul (San Francisco, CA, US), filed on March 19, 2021, was published online on February 13, 2024. The assignee for this patent, patent number 11900110, is Prosper Funding LLC (San Francisco, California, United States). Reporters obtained the following quote from the background information supplied by the inventors: “Computing systems may be used to interact with users with multiple types of communication, including voice communications, email communications, web page communications, etc. A challenge is for computing systems and machine learning systems to identify and use the context of previous communications in subsequent communications.” In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors’ summary information for this patent: “In general, in one or more aspects, the disclosure relates to a method that increases user interaction with deep learning agents. A generation request for a content slot is received. A subsequent tag vector, for the content slot, is generated from a previous tag, for a previous content slot, using a subsequent tag model. A context vector is generated from a set of subsequent tag vectors, which include the subsequent tag vector, using a context vector generator. A selection vector is generated from the context vector using a contextual bandit model. A content set is generated for a content slot using the selection vector. The content set for the content slot is presented.
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