首页|Patent Issued for Methods, systems, and apparatuses for content recommendations based on user activity (USPTO 11962857)
Patent Issued for Methods, systems, and apparatuses for content recommendations based on user activity (USPTO 11962857)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – ON24 Inc. (San Francisco, California, United States) has been issued patent number 11962857, according to news reporti ng originating out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Diaz, Jairo (Barranquilla, CO), Sahasi, Jayesh (San F rancisco, CA, US), Sims, Stephen Andrew (San Francisco, CA, US), Streit, Brian ( San Francisco, CA, US). This patent was filed on December 10, 2021 and was published online on April 16, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: “Content platforms may provide a variety of content for users, such as for example, videos, slideshows, reading material, audio pre sentations, webinars, etc. When a plethora of content is available for users to consume, content platforms may use recommendation systems when providing content recommendations to their users. Such existing recommendation systems may provid e content recommendations based on user surveys, viewership/participant statisti cs, etc. However, these existing recommendation systems do not sufficiently acco unt for user activity/behavior. As a result, these existing recommendation syste ms do not adequately match content to users. These and other considerations are discussed herein.”
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