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公开(公告)号：US20240281715A1
公开(公告)日：2024-08-22
申请号：US18650609
申请日：2024-04-30
发明人： Jason HOOVER , Micah PRICE , Stephen WYLIE , Qiaochu TANG , Geoffrey DAGLEY
CPC分类号： G06N20/00 , G06N5/04 , G06Q50/188
摘要： A computer-implemented method for using a machine-learning trained predictive engine to predict failures, comprising receiving, from a user using a graphical user interface, electronic transaction data comprising an item and candidate transaction terms, the candidate transaction terms comprising a first transaction term, the electronic transaction data being associated with a candidate transaction. The method may determine, by a machine learning predictive engine, a likelihood of success of the candidate transaction based on the electronic transaction data, and may determine, by the machine learning predictive engine, based on the first transaction term, a second transaction term that, together with the first transaction term, increases the likelihood of success of the candidate transaction above a predetermined threshold. An indication of the second transaction term and an indication of the likelihood of success of the candidate transaction may be displayed on the graphical user interface.
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公开(公告)号：US20240169413A1
公开(公告)日：2024-05-23
申请号：US18425464
申请日：2024-01-29
发明人： Micah PRICE , Qiaochu TANG , Jason HOOVER , Avid GHAMSARI , Geoffrey DAGLEY
IPC分类号： G06Q30/0601
CPC分类号： G06Q30/0631 , G06Q30/0627 , G06Q30/0629
摘要： Computer-implemented methods, computer systems, and computer readable media for determining, sorting, or determining and sorting a set of items. The method includes receiving, via a user device, parameter values from a user and receiving parameter weights. The method further includes determining a sort score for each vehicle of a set of vehicles based on the received parameter values and parameter weights, and sorting the set of vehicles based on the sort score of each vehicle of the set of vehicles.
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公开(公告)号：US20240135421A1
公开(公告)日：2024-04-25
申请号：US18402155
申请日：2024-01-02
发明人： Avid GHAMSARI , Staevan DUCKWORTH , Geoffrey DAGLEY , Micah PRICE , Qiaochu TANG
IPC分类号： G06Q30/0601 , G06F16/958 , G06N20/00
CPC分类号： G06Q30/0627 , G06F16/958 , G06N20/00
摘要： The present disclosure provides systems and methods for creating and updating vehicle listings using crowdsourced images. An exemplary embodiment of the disclosed systems and methods includes at least one processor and at least one non-transitory computer-readable medium containing instructions. The instructions, when executed by the at least one processor, cause the system to perform operations. The operations include communicating with a listing system to create a listing for a vehicle and receiving, from an identification application executing on a mobile device distinct from the listing system, an identifier for the vehicle and an image of the vehicle. The operations further include identifying the listing using the received identifier, determining one or more parameters associated with an image quality for the received image, and updating the listing for the vehicle to include the received image based on the determined one or more parameters for the received image.
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4.发明公开公开(公告)号：US20230394092A1
公开(公告)日：2023-12-07
申请号：US18454308
申请日：2023-08-23
发明人： Yue DUAN , Sunil VASISHT , Chi-san HO , Micah PRICE
IPC分类号： G06F16/953 , G06N3/08 , G06F16/583 , G06F16/56
CPC分类号： G06F16/953 , G06N3/08 , G06F16/5854 , G06F16/5838 , G06F16/56
摘要： A device receives user interface interaction data that identifies an interaction that a user has with an interface that displays an image of a vehicle. The device generates, by using a data model to process at least a portion of the image, an array of vectors that includes one or more vectors relating to vehicle characteristics of the vehicle. The device assigns one or more weights to the one or more vectors based on the user interface action data. The device determines, based on a similarity analysis, similarity scores that indicate similarities between the array of vectors that include the one or more vectors that have been weighted and other arrays relating to the vehicles depicted in the images. The device selects a subset of the images based on the similarity scores and causes the subset of the images to be displayed.
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5.发明公开公开(公告)号：US20230377294A1
公开(公告)日：2023-11-23
申请号：US18366978
申请日：2023-08-08
发明人： Micah PRICE , Qiaochu TANG , Jason HOOVER , Stephen WYLIE , Geoffrey DAGLEY , Kristen PRZANO
IPC分类号： G06T19/00 , G06T11/60 , G06Q40/02 , G08G1/00 , G06F3/04812
CPC分类号： G06T19/006 , G06T11/60 , G06Q40/02 , G08G1/202 , G06F3/04812 , G06N20/00
摘要： A device receives an image including image data of a scale model of a vehicle, and processes the image data, with a model, to identify a make, a model, and a year represented by the scale model. The device determines augmented reality (AR) vehicle information based on the make, the model, and the year represented by the scale model of the vehicle, and provides the AR vehicle information to enable a user device to associate the AR vehicle information with the image of the scale model of the vehicle. The device receives an input associated with the AR vehicle information, and determines updated AR vehicle information based on the input associated with the AR vehicle information. The device provides the updated AR vehicle information to enable the user device to associate the updated augmented reality vehicle information with the image of the scale model of the vehicle.
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公开(公告)号：US20230351714A1
公开(公告)日：2023-11-02
申请号：US18141869
申请日：2023-05-01
发明人： Micah PRICE , Geoffrey DAGLEY , Qiaochu TANG , Jason HOOVER , Stephen WYLIE
CPC分类号： G06T19/20 , G06T19/006 , G06T7/70 , G06V20/20 , G06T2207/30204 , G06T2219/2004
摘要： Techniques for providing indirect local geo-positioning using AR markers are disclosed. A first moveable AR marker can be located or found by a computing device. A location of the first moveable AR marker can be known and shared with the computing device. The location of the first moveable AR marker can be based on distance between the first moveable AR marker and a fixed AR marker. A distance to the first moveable AR marker can be determined. Based on the known location of the first moveable AR marker and the distance to the first moveable AR marker from the computing device, an estimate of the location of the computing device can be determined without having line-of-sight (LOS) to the fixed AR marker.
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公开(公告)号：US20230316442A1
公开(公告)日：2023-10-05
申请号：US18328881
申请日：2023-06-05
发明人： Olalekan AWOYEMI , Jason HOOVER , Staevan DUCKWORTH , Geoffrey DAGLEY , Stephen WYLIE , Qiaochu TANG , Micah PRICE
IPC分类号： G06Q50/18 , G06N20/00 , G06F16/31 , G06V30/413
CPC分类号： G06Q50/188 , G06N20/00 , G06F16/313 , G06V30/413 , G06Q30/0282
摘要： A device receives image data of a contractual document that includes an offer including terms of a proposed transaction, converts the image data to text data that identifies text within the contractual document, and receives preferences information for a recipient of the offer. The device identifies key terms within the contractual document by using term identification to analyze the text. The key terms may include a first key term that identifies subject matter of the proposed transaction and other key terms that are part of the offer. The device determines term scores that correspond to likelihoods of the other key terms being favorable to the recipient by using a data model to analyze the key terms and the preferences information. The device, based on the term scores, generates and provides another device with a recommendation to be used in determining whether the accept the offer.
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公开(公告)号：US20230260272A1
公开(公告)日：2023-08-17
申请号：US18172098
申请日：2023-02-21
CPC分类号： G06V10/87 , G06F18/22 , G06T7/001 , G06T2207/20081 , G06T2207/30248
摘要： An image error identification system retrieves an image associated with a vehicle listing and uses various machine learning models to classify the image and generate identification data that may include a vehicle make, model, trim level, and/or various features of the vehicle present in the image. The identification data is compared to the rest of the vehicle listing to detect a mismatch between the image and the vehicle listing. An alert is generated, when a mismatch is detected, indicating the one of the image or the data in the vehicle listing is incorrect.
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公开(公告)号：US20230252551A1
公开(公告)日：2023-08-10
申请号：US18302913
申请日：2023-04-19
发明人： Qiaochu TANG , Geoffrey DAGLEY , Micah PRICE , Avid GHAMSARI , Jason HOOVER
IPC分类号： G06Q30/0601 , G06T19/00 , G06T15/00
CPC分类号： G06Q30/0631 , G06Q30/0643 , G06T19/006 , G06T15/00 , G06Q30/0627
摘要： A device receives user rendering data for a 3-D rendering of a user. The 3-D rendering is a proportional representation of the user and the user rendering data is available via an application. The device determines user characteristics of the user. The device receives an indication that a user device has submitted a vehicle search request. The device identifies vehicles to recommend to the user based on an analysis of: the user characteristics, and vehicle characteristics for a collection of vehicles being offered via the application. The device causes vehicle description data for the vehicles to be displayed via an interface of the application. The device receives user interaction data that indicates a user selection of vehicle. The device causes, based on receiving the user interaction data, the interface of the application to display a placement of the 3-D rendering of the user into a 3-D rendering of the vehicle.
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公开(公告)号：US20230073709A1
公开(公告)日：2023-03-09
申请号：US17936147
申请日：2022-09-28
发明人： Qiaochu TANG , Sunil Subrahmanyam VASISHT , Stephen Michael WYLIE , Geoffrey DAGLEY , Micah PRICE , Jason Richard HOOVER
摘要： The present disclosure relates to systems and methods for generating real-time quotes using machine learning algorithms. The system may include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device, extracting one or more features from the image, based on the extracted features and using a machine learning algorithm, identifying one or more attributes of the vehicle, based on the identified attributes of the vehicle, determining a make and a model of the vehicle, obtaining comparison information based at least in part on the determined make and model, estimating a quote for the vehicle based on the comparison information; and transmitting the estimated quote for display on the client device.
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