首页|Patent Application Titled 'Machine-Learning Model That Recommends Virtual Experi ences Based On Graphs And Clustering' Published Online (USPTO 20240177013)
Patent Application Titled 'Machine-Learning Model That Recommends Virtual Experi ences Based On Graphs And Clustering' Published Online (USPTO 20240177013)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors GONG, Xiaohong (Sunnyvale, CA, US); PARASRAMPURIA, Nipun (San Francisco, C A, US); PETROVIC, Nemanja (Belgrade, RS); RAGHUPATHI, Nishanth Rao Palimar (Cast ro Valley, CA, US); SHAHIDI, Shervin (Foster City, CA, US); SUN, Xusheng (Sunnyv ale, CA, US), filed on November 29, 2022, was made available online on May 30, 2 024. The assignee for this patent application is Roblox Corporation (San Mateo, Calif ornia, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Recommendation systems are excellent at recommending experien ces to users when information is known about the users and when information is k nown about the experiences. The recommendation systems may include high-level re presentations from labeled data with layered differentiable models. However, the recommendation systems are often inefficient, the data lacks robustness, and/or the data is not generalizable.
NETL
NSTL
