MX2023010358A - Recomendacion de coincidencias mediante el aprendizaje automatico. - Google Patents

Recomendacion de coincidencias mediante el aprendizaje automatico.

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Publication number
MX2023010358A
MX2023010358A MX2023010358A MX2023010358A MX2023010358A MX 2023010358 A MX2023010358 A MX 2023010358A MX 2023010358 A MX2023010358 A MX 2023010358A MX 2023010358 A MX2023010358 A MX 2023010358A MX 2023010358 A MX2023010358 A MX 2023010358A
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machine learning
quality
relationships
persons
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MX2023010358A
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Timothy Dirk Stevens
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Timothy Dirk Stevens
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    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
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    • G06N3/048—Activation functions
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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Abstract

Se proporciona un sistema y un método para recomendar coincidencias entre personas. El procesamiento de datos se realiza utilizando tecnología de inteligencia artificial. Un motor de aprendizaje automático supervisado es entrenado a partir de datos empíricos sobre las relaciones existentes que han sido evaluadas en cuanto a la calidad de las relaciones. La calidad de las relaciones de los candidatos se calcula como una salida del motor de aprendizaje automático supervisado cuando se proporcionan datos de entrada de atributos de dos personas candidatas. La probabilidad de una relación exitosa entre dos personas candidatas se predice comparando la calidad calculada de la relación candidata con un umbral. La predicción en esta tarea de aprendizaje puede ser hecha por una red neuronal. Se notifica a un usuario de una coincidencia de candidato que es probable que se convierta en una relación exitosa.
MX2023010358A 2021-03-04 2022-03-03 Recomendacion de coincidencias mediante el aprendizaje automatico. MX2023010358A (es)

Applications Claiming Priority (2)

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US17/192,845 US11276127B1 (en) 2021-03-04 2021-03-04 Recommending matches using machine learning
PCT/US2022/018782 WO2022187545A1 (en) 2021-03-04 2022-03-03 Recommending matches using machine learning

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MX2023010358A true MX2023010358A (es) 2023-09-15

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US (2) US11276127B1 (es)
EP (1) EP4302242A4 (es)
CN (1) CN116964602A (es)
CA (1) CA3212517A1 (es)
MX (1) MX2023010358A (es)
WO (1) WO2022187545A1 (es)

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EP4302242A4 (en) 2024-08-28
CN116964602A (zh) 2023-10-27
US20220284520A1 (en) 2022-09-08
EP4302242A1 (en) 2024-01-10
US11276127B1 (en) 2022-03-15
CA3212517A1 (en) 2022-09-09

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