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公开(公告)号：US20210108930A1
公开(公告)日：2021-04-15
申请号：US16864458
申请日：2020-05-01
Abstract: The present disclosure provides a method and an apparatus for recommending a travel plan, a device and a storage medium, and relates to the field of computer technology. A query request sent by a terminal device for a travel plan is received, where the query request includes travel information. At least one candidate mixed travel plan is obtained from a travel plan database according to the travel information. A real-time travel cost parameter of the at least one candidate mixed travel plan is obtained and travel cost information of the at least one candidate mixed travel plan is obtained according to the travel cost parameter. An optimum mixed travel plan is selected from the at least one candidate mixed travel plan according to the travel cost information and sent to the terminal device. Candidate mixed travel plans are stored in the travel plan database.
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公开(公告)号：US20240330328A1
公开(公告)日：2024-10-03
申请号：US18741744
申请日：2024-06-12
Inventor： Siyuan HAO , Le ZHANG , Le DAI , Jingbo ZHOU , Shengming ZHANG , Chuan QIN , Hui XIONG
IPC: G06F16/28
CPC classification number: G06F16/288
Abstract: A method is provided. The method includes: obtaining an object relationship diagram; for a target object of a plurality of first objects, obtaining at least one meta-path corresponding to the target object in the object relationship diagram; for each meta-path, performing the following operations: determining a plurality of first attention weights of the target object based on inherent attribute data of the target object and inherent attribute data of each of a plurality of second objects on the meta-path; obtaining a second representation vector of the target object based on a first representation vector of the target object and the plurality of first attention weights; and obtaining a target indicator prediction result of the target object based at least on at least one second representation vector of the target object corresponding to the at least one meta-path.
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Patent Agency Ranking
公开(公告)号：US20240071222A1
公开(公告)日：2024-02-29
申请号：US18503538
申请日：2023-11-07
Inventor： Qian SUN , Le ZHANG , Jingbo ZHOU , Hui XIONG , Weijia ZHANG , Huan YU , Yu MEI , Weicen LING
IPC: G08G1/0967 , G06N20/00 , G08G1/081
CPC classification number: G08G1/096725 , G06N20/00 , G08G1/081 , G08G1/096766 , B60W60/001
Abstract: A method for controlling a traffic light, a method and apparatus for navigating an unmanned vehicle and a method and apparatus for training a model are provided. An implementation comprises: generating a reinforced traffic light state parameter according to vehicle state representation information of an unmanned vehicle currently contained in a preset area of a target traffic light and a current traffic light state parameter of the target traffic light; and generating a traffic light control action according to the reinforced traffic light state parameter; where the reinforced traffic light state parameter is used to cause an unmanned vehicle navigation end to generate a reinforced vehicle state parameter according to a reinforced traffic light state and a current vehicle state parameter of a target unmanned vehicle, and generate an unmanned vehicle navigation action according to the reinforced vehicle state parameter.
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14.发明公开公开(公告)号：US20230229913A1
公开(公告)日：2023-07-20
申请号：US18125327
申请日：2023-03-23
Inventor： Weijia ZHANG , Le ZHANG , Hao LIU , Jindong HAN , Chuan QIN , Hengshu ZHU , Hui XIONG
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: A method and apparatus for training an information adjustment model of a charging station, an electronic device, and a storage medium are provided. An implementation comprises: acquiring a battery charging request, and determining environment state information corresponding to each charging station in a charging station set; determining, through an initial policy network, target operational information of each charging station in the charging station set for the battery charging request, according to the environment state information; determining, through an initial value network, a cumulative reward expectation corresponding to the battery charging request according to the environment state information and the target operational information; training the initial policy network and the initial value network by using a deep deterministic policy gradient algorithm; and determining the trained policy network as an information adjustment model corresponding to each charging station.
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公开(公告)号：US20220101199A1
公开(公告)日：2022-03-31
申请号：US17531132
申请日：2021-11-19
Inventor： Hao LIU , Weijia ZHANG , Dejing DOU , Hui XIONG
IPC: G06N20/00
Abstract: A training method for a point-of-interest recommendation model and a method for recommending a point of interest are provided. An implementation solution includes: obtaining training data including a plurality of point-of-interest recommendation requests; determining initialization parameters of the point-of-interest recommendation model; for a first point-of-interest recommendation request among the plurality of point-of-interest recommendation requests, determining a current return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model, and determining, based on a second point-of-interest recommendation request initiated after the first point-of-interest recommendation request is completed, a target return for the first point-of-interest recommendation request by utilizing the point-of-interest recommendation model; and adjusting the initialization parameters of the point-of-interest recommendation model based on a difference between the current return and the target return for the first point-of-interest recommendation request, to obtain final parameters of the point-of-interest recommendation model.
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公开(公告)号：US20210192209A1
公开(公告)日：2021-06-24
申请号：US17173142
申请日：2021-02-10
Inventor： Xinjiang LU , Nengjun ZHU , Hui XIONG
Abstract: This disclosure discloses a resident area prediction method, apparatus, device and storage medium, involving artificial intelligence technology, big data, deep learning and multi-task learning. The specific implementation plan is: acquiring a resident area data of a target user, and the resident area data including the resident area of the target user and the corresponding resident time; obtaining an association relationship between the resident areas of the target user by inputting the resident area data into an area relationship model, and the area relationship model is used to reflect a position relationship between the areas; determining a time-sequence relationship between the areas visited by the target user, according to the association relationship, the resident time and the visiting POI data; predicting a target resident area of the target user, according to the time-sequence relationship and the basic attribute information of the target user.
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公开(公告)号：US20210108941A1
公开(公告)日：2021-04-15
申请号：US16864648
申请日：2020-05-01
Inventor： Xinjiang LU , Yanyan LI , Jianguo DUAN , Hui XIONG , Guanglei DU
IPC: G01C21/36
Abstract: The present disclosure discloses a method, an apparatus, a device, and a storage medium for determining a point of interest area, and relates to the field of automatic driving. The implementation solution is that the method is applied to an electronic device, and includes: receiving a point of interest area determination request input by a first user, the point of interest area determination request including a target area coverage; and acquiring grid data of at least one block within the target area coverage in response to the point of interest area determination request; acquiring, for each block, positioning data of a second user within each preset time period and number of parent points of interest; clustering corresponding grid data according to the positioning data, the grid data and the number of the parent points of interest; determining at least one POI area in each block according to a clustering result.
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