MACHINE LEARNING MODELS FOR DATA DEVELOPMENT AND PROVIDING USER INTERACTION POLICIES

MACHINE LEARNING MODELS FOR DATA DEVELOPMENT AND PROVIDING USER INTERACTION POLICIES

Systems, devices, and methods for data collection and development as well as providing user interaction policies are provided. In one embodiment, a method includes collecting contextual data for a first subset of a plurality of users. The method further includes generating a first set of contextual...

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Bibliographische Detailangaben
Hauptverfasser: PATTERSON, Chad M, KELLEY, Michiko Araki, AN, Qi, JBAILY, Abdulrahman, LEE, Justin Yi-Kai, KLEINHANZL, Afshan A, FISCHER, Stacey Lynne, DIENER, Alexander Michael, PARK, Sophia, NOAR, JR., Adam G, JOSHIPURA, Amit Premal, VAN DER LINDEN, Joost Herman, OLSON, Carly Rose, FRANK, Spencer Troy, DERDZINSKI, Mark
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Systems, devices, and methods for data collection and development as well as providing user interaction policies are provided. In one embodiment, a method includes collecting contextual data for a first subset of a plurality of users. The method further includes generating a first set of contextual profiles for the first subset of the plurality of users based on the collected contextual data. Additionally, the method includes training one or more imputation models to develop the contextual data for the second subset of the plurality of users. The method also includes generating the contextual data for the second subset of the plurality of users using the one or more imputation models. Further, the method includes generating a second set of contextual profiles for the second subset of the plurality of users based on the generated contextual data for the second subset of the plurality of users.