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1. WO2020117290 - SYSTEM AND METHOD FOR SELECTING AND PROVIDING AVAILABLE ACTIONS FROM ONE OR MORE COMPUTER APPLICATIONS TO A USER

Publication Number WO/2020/117290
Publication Date 11.06.2020
International Application No. PCT/US2019/013029
International Filing Date 10.01.2019
IPC
G06F 9/54 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
46Multiprogramming arrangements
54Interprogram communication
CPC
G06F 16/9535
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
95Retrieval from the web
953Querying, e.g. by the use of web search engines
9535Search customisation based on user profiles and personalisation
G06F 16/9537
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
95Retrieval from the web
953Querying, e.g. by the use of web search engines
9537Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
G06F 9/54
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
46Multiprogramming arrangements
54Interprogram communication
G06N 3/0445
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0445Feedback networks, e.g. hopfield nets, associative networks
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
G06N 3/084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
084Back-propagation
Applicants
  • GOOGLE LLC [US]/[US]
Inventors
  • WANTLAND, Tim
  • BARBELLO, Brandon
  • BERRY, Robert
Agents
  • WAITE, Sterling R.
  • BATAVIA, Neil, M.
Priority Data
62/776,58607.12.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEM AND METHOD FOR SELECTING AND PROVIDING AVAILABLE ACTIONS FROM ONE OR MORE COMPUTER APPLICATIONS TO A USER
(FR) SYSTÈME ET PROCÉDÉ POUR SÉLECTIONNER ET FOURNIR À UN UTILISATEUR DES ACTIONS DISPONIBLES À PARTIR D'UNE OU PLUSIEURS APPLICATION(S) INFORMATIQUE(S)
Abstract
(EN)
A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.
(FR)
L'invention concerne un système informatique pouvant être configuré pour appliquer une entrée de modèle comprenant des données de contexte à l'entrée d'un modèle d'apprentissage automatique, et recevoir une sortie de modèle qui décrit une ou plusieurs entité(s) sémantique(s) référencée(s) par les données de contexte. Le système informatique peut être configuré pour fournir à l'application/aux applications informatique(s) des données décrivant la ou les entité(s) sémantique(s), et recevoir respectivement une ou plusieurs sortie(s) d'application de la/des applications informatique(s) en réponse à la fourniture, à celle(s)-ci, des données decrivant la ou les entité(s)s sémantique(s). La/les sortie(s) d'application reçue(s) de chaque application informatique peu(ven)t décrire une ou plusieurs action(s) disponible(s) de l'application informatique correspondante par rapport à l'entité ou aux entités sémantique(s). Le système informatique peut être configuré pour fournir à un utilisateur au moins un indicateur qui décrit l'action ou les actions disponible(s) des applications informatiques correspondantes par rapport à l'entité ou aux entités sémantique(s).
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