AI-driven human-computer interface for associating low-level content with high-level activities using topics as an abstraction

AI-driven human-computer interface for associating low-level content with high-level activities using topics as an abstraction

An artificial intelligence ("AI") based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among othe...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Engrav, Peter Loren, Gates, III, William Henry, Kulkarni, Aniruddha Prabhakar, Sachidanandam, Vignesh, Joshi, Yogesh Madhukarrao, Myhre, Nathaniel M
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:An artificial intelligence ("AI") based system is disclosed for associating low-level user content, such as documents, email messages, and calendar invites, with high-level user activities using topics as an abstraction. The associations can enable a computing system to provide, among other things, activity-specific views that present a specific selection of low-level user content that is most relevant to a user at a particular point in time. The activity-specific views present the right information to users at the right time based on a context of a user and a user's past activities.