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Applicant
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Google
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Auteurs
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N/A
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Titre
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Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources
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Patent Number
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US2019197073
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Publication Date
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2019
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uri
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https://patents.google.com/patent/US20190197073
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Description
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Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources are provided. In some implementations, the method comprises: obtaining information associated with an objective of a user of a computing device from multiple data sources; determining that a portion of information from each of the data sources is relevant to the user having the objective, wherein the portion of information is indicative of a physical or emotional state of the user of the computing device; assigning the user of the computing device into a group of users based at least in part on the objective and the portion of information from each of the data sources; determining a target profile associated with the user based at least in part on the objective and the assigned group; generating a current profile for the user of the computing device based on the portion of information from each of the data sources; comparing the current profile with the target profile to determine a recommended action, wherein the recommended action is determined to have a likelihood of impacting the physical or emotional state of the user; determining one or more devices connected to the computing device, wherein each of the one or more devices has one or more device capabilities; and causing the recommended action to be executed on one or more of the computing device and the devices connected to the computing device based on the one or more device capabilities.
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keywords
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Mood
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Domaine de recherche
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Human-Computer Interaction & User Experience
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Sentiment Analysis
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Social Media and User Engagement
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Software Development
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Données collectées (type source)
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Text
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Audio
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Image
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Video
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Media Content
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Concepts clés
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Emotional state
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Méthode
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Emotional state of the user can be predicted using information from various data sources (e.g., contextual data, social data, general data, etc.) including, among other things, content and information published by the user on a social networking service, biometric and location data, mobile device data, and any other suitable data
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Dispositif
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Device
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Objectifs du brevet
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Personalize/Improve with emotion information