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公开(公告)号：US12020467B2
公开(公告)日：2024-06-25
申请号：US17037144
申请日：2020-09-29
Inventor： Jingbo Zhou , Renjun Hu , Airong Jiang , Jianguo Duan , Hui Xiong
CPC classification number: G06V10/454 , G01C21/3608 , G01C21/3682 , G06F18/2113 , G06N3/045 , G06V10/761 , G06V10/82
Abstract: The present disclosure provides a method for optimizing a tag of a point of interest s(POI). The method includes: obtaining first portrait feature data of each POI in a plurality of POIs and second portrait feature data of each tag in a plurality of marked tags corresponding to the plurality of POIs; mapping the first portrait feature data of each POI and the second portrait feature data of each tag to a metric space to obtain a first feature vector of each POI and a second feature vector of each tag; and optimizing at least one marked tag corresponding to a target POI based on a vector similarity between a first feature vector of the target POI and a second feature vector of at least one tag. The present disclosure provides an apparatus for optimizing a tag of a POI, an electronic device and a computer readable medium.
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2.发明授权公开(公告)号：US11802776B2
公开(公告)日：2023-10-31
申请号：US17212251
申请日：2021-03-25
Inventor： Hao Liu , Panpan Zhang , Jianguo Duan , Hui Xiong
CPC classification number: G01C21/3484 , G01C21/343 , G01C21/3423 , G06Q10/02 , G06Q50/14
Abstract: A cross-regional travel recommendation method and apparatus, an electronic device and a storage medium are provided, which relates to the fields of intelligent transportation and deep learning. A specific implementation solution is: acquiring a travel request of a user, the travel request comprising a start point and an end point which are located in different regions; extracting user features according to the travel request of the user; and recommending at least one travel plan to the user according to the user features and a pre-trained cross-regional travel recommendation model. The technical solutions can make up for the deficiency of the existing technology, provide a cross-regional travel plan recommendation under a large-space scale and a multimodal environment through a pre-trained cross-regional travel recommendation model and user features extracted based on a travel request of a user, and can satisfy a cross-regional travel request of the user, and is highly practical.
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公开(公告)号：US11698261B2
公开(公告)日：2023-07-11
申请号：US16710566
申请日：2019-12-11
Inventor： Yanyan Li , Jianguo Duan , Hui Xiong
IPC: G01C21/34 , G06N20/00 , G06F16/29 , G06F40/242
CPC classification number: G01C21/3476 , G06F16/29 , G06F40/242 , G06N20/00
Abstract: Embodiments of the present disclosure provide a method, apparatus, computer device, and storage medium for determining a POI alias. The method may include: acquiring a to-be-processed target POI, and generating a candidate alias list corresponding to the target POI based on a query behavior-associated log matching the target POI; and screening out at least one target alias corresponding to the target POI in the candidate alias list, according to an association relationship between each candidate alias in the candidate alias list and the target POI.
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4.发明授权公开(公告)号：US11593384B2
公开(公告)日：2023-02-28
申请号：US17021979
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
IPC: G06F16/00 , G06F16/2457 , G06F16/29 , G06N3/08 , G08G1/065
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed; aggregating environment context features of neighboring parking lots according to weights of edges between the neighboring parking lots and a parking lot i to obtain a representation vector of the parking lot i at a current time; and pre-training a graph attention neural network model using the environment context features of the neighboring parking lots and free parking space information, and a gated recurrent neural model according to the representation vector of the parking lot it at the current time.
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公开(公告)号：US11580124B2
公开(公告)日：2023-02-14
申请号：US17110144
申请日：2020-12-02
Inventor： Jingbo Zhou , Hui Xiong
IPC: G06F16/00 , G06F16/2458 , G06F16/28 , G06F16/29 , G06F16/901 , G06N3/04 , G06N3/08
Abstract: A method and apparatus for mining a competition relationship between POIs. An embodiment of the method includes: acquiring a graphlet mining result obtained by mining map retrieval data of users which encompasses attribute information of retrieved target POIs, the graphlet mining result encompassing occurrence frequencies of respective preset situations, and a preset situation comprising: conforming to attribute information of POIs represented by a corresponding preset graphlet and a preset association relationship between attribute information of at least two POIs; for a first and second POI, determining an occurrence frequency of a preset situation corresponding to a preset graphlet where attribute information of the first and second POI co-occur, and generating a relationship feature of the first and second POI; and inputting the relationship feature into a pre-trained relationship prediction model to obtain a competition relationship prediction result of the first POI and the second POI.
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Patent Agency Ranking
公开(公告)号：US11361188B2
公开(公告)日：2022-06-14
申请号：US16857542
申请日：2020-04-24
Inventor： Jingbo Zhou , Renjun Hu , Hui Xiong
Abstract: Embodiments of the present disclosure provide a method and apparatus for optimizing a tag of a point of interest. The method includes: acquiring a set of points of interest and a set of tags of points of interest in the set of points of interest; generating a point of interest-tag matrix based on the set of points of interest and the set of tags of points of interest in the set of points of interest; extracting a feature of a point of interest-tag in the point of interest-tag matrix; inputting the feature of the point of interest-tag in the point of interest-tag matrix into a pre-trained ternary self-adaptive collaborative learning model, to obtain a point of interest-tag score matrix; and optimizing the set of tags of points of interest in the set of points of interest based on the point of interest-tag score matrix.
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公开(公告)号：US11580980B2
公开(公告)日：2023-02-14
申请号：US17155783
申请日：2021-01-22
Inventor： Yanyan Li , Jianguo Duan , Hui Xiong
Abstract: A method and apparatus for generating a user intention understanding satisfaction evaluation model, a method and apparatus for evaluating a user intention understanding satisfaction, an electronic device and a storage medium are provided, relating to intelligent voice recognition and knowledge graphs. The method for generating a user intention understanding satisfaction evaluation model is: acquiring a plurality of sets of intention understanding data, at least one set of which comprises a plurality of sequences corresponding to multi-round behaviors of an intelligent device in multi-round man-machine interactions; and learning the plurality of sets of intention understanding data through a first machine learning model, to obtain the user intention understanding satisfaction evaluation model after the learning, wherein the user intention understanding satisfaction evaluation model is configured to evaluate user intention understanding satisfactions of the intelligent device in the multi-round man-machine interactions according to the plurality of sequences corresponding to the multi-round man-machine interactions.
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8.发明授权公开(公告)号：US11574259B2
公开(公告)日：2023-02-07
申请号：US17021831
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed; as for any parking lot i, performing the following processing respectively: determining local space correlation information of the parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are in the parking lot association graph and connected to the parking lot i through edges; determining time correlation information of the parking lot i at the current time according to the local space correlation information, and predicting free parking space information of the parking lot i at at least one future time step according to the time correlation information of the parking lot i at the current time.
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公开(公告)号：US11418918B2
公开(公告)日：2022-08-16
申请号：US16821729
申请日：2020-03-17
Inventor： Yanyan Li , Jianguo Duan , Hui Xiong
Abstract: A method, an apparatus, a computer device and a storage medium for stay point recognition are disclosed. The method comprises: obtaining reference stay points corresponding to a to-be-recognized positioning point; selecting from the reference stay points a stay point in a predetermined relationship with the to-be-recognized positioning point; and determining whether the to-be-recognized positioning point is a stay point based on the stay point selected. The technical solution may improve the accuracy and recall rate of the stay point recognition.
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10.发明授权公开(公告)号：US11379741B2
公开(公告)日：2022-07-05
申请号：US16823214
申请日：2020-03-18
Inventor： Yanyan Li , Jianguo Duan , Hui Xiong
Abstract: A method, an apparatus and a storage medium for stay point recognition and prediction model training are proposed. The method may include: for a to-be-recognized positioning point, obtaining respectively features of N predetermined dimensions for the to-be-recognized positioning point, N being a positive integer greater than one; generating a feature vector for the to-be-recognized positioning point according to the features obtained; determining whether the to-be-recognized positioning point is a stay point based on the feature vector, by using a prediction model obtained by pre-training. The technical solution may be applied to improve the accuracy and a recall rate of the stay point recognition.
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