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1.发明公开公开(公告)号：US20240202443A1
公开(公告)日：2024-06-20
申请号：US18066321
申请日：2022-12-15
IPC分类号： G06F40/284 , G06N3/08
CPC分类号： G06F40/284 , G06N3/08
摘要： Systems and methods for generating recommendations for unlabelled data for machine learning model training using natural language processing are disclosed herein. The system may receive first text data for a first unlabelled training datum. The system may retrieve textual datasets from a label record database. The system may determine a first dataset that corresponds to a first label record. The system may determine a first plurality of textual data corresponding to the first dataset. The system may compare the first text data and the first plurality of textual data to determine similarity metrics. Based on the similarity metrics, the system may determine the first label record for the first dataset. The system may generate a first recommendation for a first label for the first text data.
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2.发明公开公开(公告)号：US20240232730A1
公开(公告)日：2024-07-11
申请号：US18151660
申请日：2023-01-09
发明人： Joshua Edwards , Tyler Maiman , Samuel Yip , Bryant Yee , Haytham Yaghi
摘要： Disclosed embodiments may include a system for curating online vehicle reservations. The system may determine, from received vehicle data including first timing data and indicating a selected vehicle, that the selected vehicle is electric. The system may receive accommodation data including second timing data and indicating a selected accommodation. The system may determine, from comparing the first timing data to the second timing data, that the selected vehicle will likely require charging at the selected accommodation. The system may determine whether the accommodation data includes an indication of electric vehicle charging facilities. Responsive to determining that the selected accommodation does not provide the indication of electric vehicle charging facilities, the system may generate a first graphical user interface warning that no charging station is available for the selected vehicle at the selected accommodation and transmit the first graphical user interface to a user device for display.
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公开(公告)号：US20240202572A1
公开(公告)日：2024-06-20
申请号：US18066361
申请日：2022-12-15
CPC分类号： G06N20/00 , G06F18/217
摘要： Systems and methods for documenting label versions for machine learning model input datasets are disclosed herein. The system may receive a label modification request for a dataset. The system may determine a dataset identifier and model error indicator. The system may determine a modification timestamp. The system may generate a label record and generate the label record in a label record database.
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公开(公告)号：US20240353808A1
公开(公告)日：2024-10-24
申请号：US18303277
申请日：2023-04-19
发明人： Haytham Yaghi , Tyler Maiman , Samuel Yip , Joshua Edwards , Bryant Yee
IPC分类号： G05B19/042
CPC分类号： G05B19/042 , G05B2219/2642
摘要： Disclosed embodiments may include a system for controlling smart home devices. The system may receive, from a router, a list of devices connected to a home network in a home. The system may determine, from the list of devices, a presence of one or more controllable smart devices, the one or more controllable smart devices operating on a schedule. The system may categorize the one or more controllable smart devices into function-based categories. The system may receive user data. The system may determine a duration of an absence of a user in the home based on the user data. The system may change the schedule of the one or more controllable smart devices based on the function-based category and the duration of the absence of the user.
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公开(公告)号：US12088546B2
公开(公告)日：2024-09-10
申请号：US18169833
申请日：2023-02-15
摘要： Methods and systems for reducing network traffic between a service and client devices. In some aspects, the system receives a first data stream for a first type of communication between a service and a client device for a user. In response to determining that the first data stream includes an unresolved user query, the system determines that a second type of communication occurred between the service and the user. The system processes a second data stream for the second type of communication to determine that the second type of communication includes the unresolved user query and a service response to the unresolved user query. The system provides the unresolved user query and the service response to update a machine learning model used by the service to generate service responses to one or more user queries during a future communication of the first type.
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公开(公告)号：US20240144079A1
公开(公告)日：2024-05-02
申请号：US17979147
申请日：2022-11-02
发明人： Joshua Edwards , Tyler Maiman , Samuel Yip , Bryant Yee , Haytham Yaghi
IPC分类号： G06N20/00
CPC分类号： G06N20/00
摘要： Disclosed embodiments may include a system configured to perform digital image analysis. The system may receive transaction data and image data associated with a user. The system may identify, from the transaction data, first travel feature(s). The system may identify, from the image data via computer vision, second travel feature(s). The system may train a machine learning model (MLM) to generate trip recommendation(s) for the user based on the first travel feature(s) and the second travel feature(s). The system may determine, via the trained MLM, whether at least a first trip recommendation of the trip recommendation(s) exceeds a predetermined threshold indicating a likelihood the user will be interested in the first trip recommendation. Responsive to determining the first trip recommendation exceeds the predetermined threshold, the system may provide the first trip recommendation to the user.
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