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公开(公告)号:US20240362686A1
公开(公告)日:2024-10-31
申请号:US18238779
申请日:2023-08-28
IPC分类号: G06Q30/0282 , G06Q30/0217
CPC分类号: G06Q30/0282 , G06Q30/0217
摘要: A computer-implemented method for providing feedback on driving behavior of a driver based upon driving behavior data associated with the driver may include, by one or more processors, (i) receiving driving behavior data associated with the driver; (ii) inputting the driving behavior data associated with the driver into a generative AI model to generate feedback about the driving behavior of a driver, wherein the generative AI model is trained using historical driving behavior to identify behavioral patterns in driving and configured to (a) correlate driving behavioral patterns with suggestions to improve driving, (b) analyze input driving behavior data associated with the driver to determine suggestions to improve the driving behavior of the driver, and (c) generate feedback regarding the driving behavior associated with the driver; and (iii) presenting, by the one or more processors, the feedback to the driver.
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公开(公告)号:US12131355B2
公开(公告)日:2024-10-29
申请号:US16907946
申请日:2020-06-22
发明人: Christine Soule , Charles H. Cella , Richard Spitz
IPC分类号: G06Q30/02 , G01C21/20 , G06F3/01 , G06F3/0482 , G06F16/435 , G06F16/438 , G06F16/587 , G06F16/953 , G06F16/9535 , G06F16/954 , G06N20/00 , G06Q10/047 , G06Q20/20 , G06Q30/0201 , G06Q30/0203 , G06Q30/0207 , G06Q30/0214 , G06Q30/0217 , G06Q30/0251 , G06Q30/0279 , G06Q30/0282 , G06Q50/00 , G06T5/00 , G06T11/00 , G06T11/60 , G06V20/20 , G06V20/52 , G06V40/16 , H04L9/40 , H04L67/12 , H04L67/50 , H04N7/15 , H04N21/2187 , H04W4/021 , H04W4/024 , H04W4/029 , H04W4/10 , H04W4/12 , H04W4/33 , H04W4/80 , H04W12/06 , H04W12/08 , H04W12/084 , G06K7/14 , G06Q50/26 , H04W12/64
CPC分类号: G06Q30/0279 , G01C21/206 , G06F3/013 , G06F3/0482 , G06F16/435 , G06F16/438 , G06F16/587 , G06F16/953 , G06F16/9535 , G06F16/954 , G06N20/00 , G06Q10/047 , G06Q20/20 , G06Q30/0201 , G06Q30/0203 , G06Q30/0207 , G06Q30/0214 , G06Q30/0217 , G06Q30/0224 , G06Q30/0236 , G06Q30/0261 , G06Q30/0267 , G06Q30/0271 , G06Q30/0281 , G06Q30/0282 , G06Q50/01 , G06T5/005 , G06T11/00 , G06T11/60 , G06V20/20 , G06V20/52 , G06V40/16 , G06V40/176 , H04L63/0861 , H04L67/12 , H04L67/535 , H04N7/15 , H04N21/2187 , H04W4/021 , H04W4/024 , H04W4/029 , H04W4/10 , H04W4/12 , H04W4/33 , H04W4/80 , H04W12/068 , H04W12/08 , H04W12/084 , G06K7/1417 , G06Q50/26 , G06V2201/10 , H04W12/64
摘要: An information technology platform for personalizing an experience of a visitor at a non-profit venue comprising: a network; a server in communication with the network; a mobile computing device to be carried by a visitor to a non-profit venue, wherein the platform determines personalized information about the visitor and a recommendation engine outputs a suggestion for a personalized experience to the visitor to encourage philanthropic activity related to an ongoing philanthropic campaign; and a machine learning system for learning on a training set of photographic data or video data, the learning to train the machine learning system to predict a sentiment towards the ongoing philanthropic campaign of the visitor based, at least in part, on photographic images or video images that are taken by the visitor, that are shared to the visitor, that are shared by the visitor or that include the visitor as a subject.
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公开(公告)号:US12125054B2
公开(公告)日:2024-10-22
申请号:US17279544
申请日:2019-09-25
发明人: Alok Narula
IPC分类号: G06Q30/02 , G06F16/28 , G06Q20/20 , G06Q20/34 , G06Q20/36 , G06Q30/0201 , G06Q30/0203 , G06Q30/0217 , G06Q30/0226 , G06Q30/0282 , G06Q40/03 , G06Q40/12 , H04L9/40
CPC分类号: G06Q30/0203 , G06F16/285 , G06Q20/209 , G06Q20/341 , G06Q20/353 , G06Q20/367 , G06Q30/0201 , G06Q30/0218 , G06Q30/0226 , G06Q30/0282 , G06Q40/03 , G06Q40/12 , H04L63/0838
摘要: A system and method of acquiring and verifying information is provided. The system comprises a processor, and a memory comprising a sequence of instructions which when executed by the processor configure the processor to perform the method. The method comprises acquiring data from a data source associated with an author of the data, normalizing the acquired data, determining, by the processor, an identity of the author of the data, classifying the normalized data based on the identity and acquired metadata, and storing in a memory the normalized data. Normalizing the acquired data comprises parsing the acquired data for meaningful information, extracting metadata from the acquired data, and mapping the parsed information to internal data structures.
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公开(公告)号:US20240346534A1
公开(公告)日:2024-10-17
申请号:US18682726
申请日:2022-02-15
申请人: TRURATING LIMITED
IPC分类号: G06Q30/0203 , G06Q20/20 , G06Q30/0282
CPC分类号: G06Q30/0203 , G06Q20/202 , G06Q30/0282
摘要: There is provided a system operable to collect, from a customer, a response to a question relating to a transaction, the system comprising: a requesting device configured to send, to a questions server, data relating to the transaction and a request for a question; the questions server, comprising: a processor; one or more databases storing questions; and a rules engine, the questions server configured to: receive the data relating to the transaction and the request for a question from the requesting device; select a question from the stored questions based on the transaction data; and send the selected question to the requesting device; wherein the requesting device is further configured to: present the question to the customer or instruct a display device to present the question to a customer; wherein the system is further configured to: receive a response to the question; and send data related to the response to the questions server or a response database. Corresponding methods, questions server and requesting device are also provided.
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5.
公开(公告)号:US12112387B2
公开(公告)日:2024-10-08
申请号:US18331760
申请日:2023-06-08
IPC分类号: G06Q40/08 , G06Q10/20 , G06Q20/10 , G06Q30/0201 , G06Q30/0207 , G06Q30/0282 , G06Q40/02 , G06Q50/40 , G07C5/00 , G07C5/08 , G10L15/18
CPC分类号: G06Q40/08 , G06Q10/20 , G06Q20/102 , G06Q30/0206 , G06Q30/0215 , G06Q30/0282 , G06Q40/02 , G06Q50/40 , G07C5/008 , G07C5/0808 , G07C5/085 , G10L15/1822
摘要: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.
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公开(公告)号:US12112358B2
公开(公告)日:2024-10-08
申请号:US18129253
申请日:2023-03-31
申请人: Yext, Inc.
IPC分类号: G06Q30/0282 , G06F40/30
CPC分类号: G06Q30/0282 , G06F40/30
摘要: A system and method to determine a sentiment score associated with a review element extracted from a first review posted by an end-user system to a first review platform of the plurality of review platforms, where the first review is associated with a merchant system. In view of a review response template associated with the merchant system, a first review response is generated, the first review response including a set of values corresponding to a set of response components, where a value of the set of values includes the review element. The first review response to the first review platform is distributed via a first application program interface associated with the first review platform. Feedback relating to the first review response is received. One or more terms of the review response template are adjusted in view of the feedback to generate an updated review response template. In view of the updated review response template, a second review response is generated, where the second review response includes an updated set of values corresponding to the set of response components. The second review response is distributed to a second review platform via a second application program interface.
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公开(公告)号:US20240330993A1
公开(公告)日:2024-10-03
申请号:US18488488
申请日:2023-10-17
申请人: ELM
IPC分类号: G06Q30/0282 , G06F40/20
CPC分类号: G06Q30/0282 , G06F40/20
摘要: A system and method measures in real time the reputation of products or services based on customer reviews and social media mentions. The method includes cyclically refining a search to collect, using a natural language processing (NLP) model, data relating to the products or services, and simultaneously recognizing product/service aspects and classifying sentiment for the collected data, using a single multi-task machine learning model.
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8.
公开(公告)号:US20240330992A1
公开(公告)日:2024-10-03
申请号:US18193264
申请日:2023-03-30
发明人: Ankit SINGH
IPC分类号: G06Q30/0282 , G06F21/31
CPC分类号: G06Q30/0282 , G06F21/316
摘要: A method of electronic document access approval including receiving an access request from a user to electronically access data; receiving a request from the user to indicate the data within the electronic file has been reviewed; determining whether the electronic file is configured to indicate having been reviewed by the user based on a generic certificate; determining a file review threshold security score, wherein the file review threshold security score is a minimum security score to permit the use of a generic certificate by any particular user to indicate review of the data; and determining whether the user can indicate review of the data using the generic certificate based on whether the electronic file is configured to indicate having been reviewed by the user based on the generic certificate and whether the user has a user security score that is greater than the file review threshold security score.
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公开(公告)号:US20240311879A1
公开(公告)日:2024-09-19
申请号:US18228582
申请日:2023-07-31
发明人: Rawdon W. Kellogg
IPC分类号: G06Q30/0282 , G06F3/04847 , G06Q30/0601
CPC分类号: G06Q30/0282 , G06F3/04847 , G06Q30/0625 , G06Q30/0627 , G06Q30/0631
摘要: A method provides a user interface including a search results section and a search adjustment section. The method determines factors, and factor ranges, and environment trigger conditions. The method modifies the factors in response to determining a first environment trigger condition of the environment trigger conditions. The method adjusts factor ranges in response to determining a second environment trigger condition of the environment trigger conditions. The method receives factor weights for the modified plurality of factors, the factor weights being within the adjusted plurality of factor ranges. The method scores search results using the factor weights. The method then ranks the search results in response to scoring the search results.
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公开(公告)号:US12093795B2
公开(公告)日:2024-09-17
申请号:US17873024
申请日:2022-07-25
申请人: Nowcasting.ai, Inc.
发明人: Damian Ariel Scavo
IPC分类号: G06Q10/0633 , G06F16/215 , G06F16/2458 , G06F16/25 , G06F16/28 , G06N3/08 , G06N20/00 , G06Q10/0639 , G06Q30/0202 , G06Q30/0282 , G06Q40/04 , G06Q40/06 , G06Q40/12 , H04L67/55 , G06N3/084
CPC分类号: G06N20/00 , G06F16/215 , G06F16/2465 , G06F16/254 , G06F16/258 , G06F16/285 , G06N3/08 , G06Q10/0633 , G06Q10/06393 , G06Q30/0202 , G06Q30/0282 , G06Q40/04 , G06Q40/06 , H04L67/55 , G06N3/084 , G06Q40/12
摘要: A computer-implemented method includes a method comprising using at least one hardware processor to: receive a plurality of data from a plurality of data sources; standardize the plurality of data; tag the standardized plurality of data with one or more companies; train a prediction model to predict a metric for each of the one or more companies based on the standardized plurality of data tagged with that company and historical measurements for that company; and apply the prediction model to new data to predict the metric for at least one of the one or more companies.
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