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公开(公告)号:US20240346532A1
公开(公告)日:2024-10-17
申请号:US18689725
申请日:2022-07-20
申请人: NTT DOCOMO, INC.
IPC分类号: G06Q30/0202
CPC分类号: G06Q30/0202
摘要: A service demand potential prediction device (10) includes: an acquisition unit (11) for acquiring the number of service provision results for own-company service and other-company service for each area; a calculation unit (12) for calculating a relative index of the own-company service to the other-company service for each area; a selection unit (13) for selecting a dominant area where the own-company service is dominant; a construction unit (14) for constructing a model (M) by performing machine learning using a characteristic amount of the dominant area as an explanatory variable and the number of service provision results of the own-company service as an objective variable; and a prediction unit (15) for predicting a service demand potential of the own-company service when the non-dominant area is assumed to be a dominant area by inputting the characteristic amount of the non-dominant area into the model (M).
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公开(公告)号:US20240346437A1
公开(公告)日:2024-10-17
申请号:US18387435
申请日:2023-11-06
申请人: Paul Fredrich , Michael Bifolco , Eugene Vasilchenko , Greg E. Alvo , Ofir Shalom , Federico Alvarez , Bradley Williams Groff , Eugene Kozhukalo
发明人: Paul Fredrich , Michael Bifolco , Eugene Vasilchenko , Greg E. Alvo , Ofir Shalom , Federico Alvarez , Bradley Williams Groff , Eugene Kozhukalo
IPC分类号: G06Q10/087 , G06Q10/04 , G06Q30/0202
CPC分类号: G06Q10/087 , G06Q10/04 , G06Q30/0202
摘要: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface, and, more specifically, to a computing and data storage platform that implements specialized logic to facilitate distribution of items in accordance with an automatically adaptive schedule, for example, via an interface. In some examples, a method may include predicting data representing, for example, a zone of time in which depletion of an item is predicted. The method may monitor whether to replenish the item, and transmit via a network an electronic message including one or more item characteristics associated with the item to be replenished. The method may also include receiving another electronic message, and transmitting a control message to a merchant computing system to initiate adaptive distribution to replenish the item, among other things.
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公开(公告)号:US20240339833A1
公开(公告)日:2024-10-10
申请号:US18645345
申请日:2024-04-24
发明人: Brian Mark CURTIS
IPC分类号: H02J3/00 , G05B13/02 , G06Q30/0202 , G06Q50/06
CPC分类号: H02J3/003 , G05B13/026 , G06Q30/0202 , G06Q50/06
摘要: The invention includes systems and methods for power cogeneration. In certain embodiments the cogeneration systems include one or more units that are modularized; in some of these embodiments, the modules contain components that are integrated and ready for use with a control system that optimizes a result for the cogeneration plant. In some cases, the cogeneration system is part of a network of cogeneration systems.
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4.
公开(公告)号:US20240338726A1
公开(公告)日:2024-10-10
申请号:US18610202
申请日:2024-03-19
申请人: FETCH REWARDS, LLC
IPC分类号: G06Q30/0207 , G06Q30/0202 , G06Q30/0241
CPC分类号: G06Q30/0224 , G06Q30/0202 , G06Q30/0222 , G06Q30/0277
摘要: Systems and methods for using machine learning to determine product offers for individuals are disclosed. According to certain aspects, the systems and methods may determine, using a machine learning model and based on a set of products purchased by a user, a set of digital offers associated with an additional set of products to provide to the user. The user may redeem any of the digital offers, and the systems and methods may use any additional product purchase information to update the machine learning model for use in subsequent analyses.
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公开(公告)号:US12112343B2
公开(公告)日:2024-10-08
申请号:US17860277
申请日:2022-07-08
申请人: Klaviyo, Inc
发明人: Olof Jacobson , Harsh Mehta
IPC分类号: G06Q30/0201 , G06Q20/20 , G06Q30/0202
CPC分类号: G06Q30/0201 , G06Q20/20 , G06Q30/0202
摘要: Apparatuses, methods, and systems for detecting changes in customer behavior are disclosed. One method includes detecting customer action data, receiving, by a marketing platform server, the customer action data over a period of time, determining, customer parameters including a mean, and a standard deviation of the customer action data, generating a normalization value when the standard deviation is detected to be less than a deviation threshold, calculating, by the marketing platform server, a value of deviation from expectation based at least on the mean, the normalization value, and a noise factor, calculating a current cumulative sum value of the customer action data based on a prior cumulative sum value and the value of the deviation from expectation, comparing the current cumulative sum value with a threshold, and generating an electronic communication for the merchant server when the current cumulative sum value satisfies a compared condition with the preselected threshold.
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6.
公开(公告)号:US20240330794A1
公开(公告)日:2024-10-03
申请号:US18615669
申请日:2024-03-25
发明人: Ryogo NONAKA , Ai MIYATA , Keisuke OKAMOTO , Yuka TAKIGUCHI , Nahoko SHIBANO , Yuta SHISHIME , Tsuyoshi OKADA , Shota KOMATSU
IPC分类号: G06Q10/0631 , G06Q30/0202 , G06Q30/0251
CPC分类号: G06Q10/06311 , G06Q30/0202 , G06Q30/0267
摘要: An information processing apparatus, an information processing method, or a non-transitory storage medium plans a service schedule of vehicles that transport visitors to an event site. The apparatus includes a processor configured to execute: receiving advance purchase of goods sold in the event site from the visitors; setting a threshold for a total value of upper limit numbers of people up to which the goods can be handed over per predetermined period of time respectively at one or more shops at the event site; when the number of goods purchasers purchased the goods in advance exceeds the threshold, distributing the goods purchasers such that the goods purchasers in number smaller than or equal to the threshold get a ride on each vehicle; and planning the service schedule of the vehicles such that the number of goods purchasers who concurrently arrive at the event site does not exceed the threshold.
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公开(公告)号:US20240330789A1
公开(公告)日:2024-10-03
申请号:US18616417
申请日:2024-03-26
申请人: Rakuten Group, Inc.
发明人: Haruka HORIUCHI , Saki TANAKA , Keisuke TAKAMI
IPC分类号: G06Q10/047 , G06Q30/0202
CPC分类号: G06Q10/047 , G06Q30/0202
摘要: According to an aspect of the present invention, there is provided a route determination apparatus that has one or more processors that execute a process including: collecting preference information relating to preferences of spectators at an event held at a facility; calculating, from the collected preference information, a demand level for a vendor of products in each seating block in the facility; determining, on the basis of the demand level in each seating block, a route along which the vendor is to move; and adjusting the route such that a position of the vendor moving along the determined route satisfies a predetermined condition.
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公开(公告)号:US12100016B2
公开(公告)日:2024-09-24
申请号:US17984961
申请日:2022-11-10
发明人: Matthew VanLandeghem , Lianghua Shao , Jessica Brinson , Sagar Sanghavi , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
IPC分类号: G06Q30/02 , G06F16/215 , G06F16/23 , G06F16/2457 , G06F16/28 , G06F16/9536 , G06F21/62 , G06N5/04 , G06N20/00 , G06Q30/0201 , G06Q30/0202 , G06Q30/0204 , G06Q30/0242 , H04L67/303 , H04L67/306 , H04L67/50 , H04L67/53
CPC分类号: G06Q30/0201 , G06F16/215 , G06F16/2365 , G06F16/24578 , G06F16/285 , G06F16/9536 , G06F21/6263 , G06N5/04 , G06N20/00 , G06Q30/0202 , G06Q30/0204 , G06Q30/0205 , G06Q30/0245 , G06Q30/0246 , H04L67/303 , H04L67/306 , H04L67/53 , H04L67/535
摘要: An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.
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公开(公告)号:US12099940B1
公开(公告)日:2024-09-24
申请号:US17468360
申请日:2021-09-07
发明人: Kevin Chen , Mason Carpenter , Shanji Xiong , Honghao Shan , Hua Li , Olcay Boz , Zhixuan Wang
IPC分类号: G06N7/01 , G06Q30/0202
CPC分类号: G06N7/01 , G06Q30/0202
摘要: The features relate to artificial intelligence directed detection of user behavior based on complex analysis of user event data including language modeling to generate distributed representations of user behavior. Further features are described for reducing the amount of data needed to represent relationships between events such as transaction events received from card readers or point of sale systems. Machine learning features for dynamically determining an optimal set of attributes to use as the language model as well as for comparing current event data to historical event data are also included.
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公开(公告)号:US20240311719A1
公开(公告)日:2024-09-19
申请号:US18184416
申请日:2023-03-15
发明人: Yihua LI , Xiaowei BAO , Zuochun TANG , Robert PARKIN
IPC分类号: G06Q10/0631 , G06Q10/067 , G06Q10/087 , G06Q30/0202
CPC分类号: G06Q10/06315 , G06Q10/067 , G06Q10/087 , G06Q30/0202
摘要: Generation of an available to promise (ATP) value. A method identifies business constraints and goals for an omnichannel retailer based on input quantitative and qualitative data. The method determines numerical parameters for use in an executable optimization model and using a machine learning model. Additionally, the method builds the executable optimization model using at least one of the goals as a respective at least one objective in the optimization model, at least one of the constraints as a respective at least one constraint in the optimization model, and at least one of the numerical parameters as at least one additional parameter in the executable optimization model. In addition, the method executes the executable optimization model and generates an ATP value, and outputs the ATP value to an e-commerce system.
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