Robotics & Machine Learning Daily News2024,Issue(Oct.31) :173-177.

Patent Application Titled "System And Method For Custom Label Embedding" Publish ed Online (USPTO 20240346047)

Robotics & Machine Learning Daily News2024,Issue(Oct.31) :173-177.

Patent Application Titled "System And Method For Custom Label Embedding" Publish ed Online (USPTO 20240346047)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntors Gutierrez Villalobos, Jenny (Fall Church, VA, US); Ivancic, Kristijan(Gla sgow, GB); Kumar, Ranjitha (Champaign, IL, US); Moss, Jason Matthew (Decatur, GA , US);Turbeville, Kelsey Elizabeth (San Francisco, CA, US); Zaidi, Ali Hur (Sar atoga, CA, US), filed on April13, 2023, was made available online on October 17 , 2024.No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors:"Computer-based behavioral analytics tools have been used to r ecord and monitor users' interactions witha digital asset. These tools often ar e used to capture and record user and system-level events indicative of user int eractions that occur on deployed websites and applications. The user interaction s often arereferred to as a user's digital experiences. Recordings of a user's digital interactions with a digital assetcan play an important role in digital experience management. A digital asset can be analyzed based uponrecordings of users' digital experiences to evaluate its effectiveness in operation in terms o f ease of use,user engagement, or delivery of services. Recorded information ca n include quantitative information suchas aggregation of data captured during e ach action a user performs during digital interaction with adigital asset. Reco rded information also can include qualitative information such as recordings of a user'sinteraction experiences, including images presented to a user and a use r's recorded verbal commentary.

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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