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公开(公告)号：US11789985B2
公开(公告)日：2023-10-17
申请号：US17480780
申请日：2021-09-21
Inventor： Shuangli Li , Jingbo Zhou , Tong Xu , Hui Xiong
IPC: G06F16/29 , G06F16/9536
CPC classification number: G06F16/29 , G06F16/9536
Abstract: A method for determining a competitive relation of Points of Interest (POI), and a device are provided in the present disclosure. The specific implementation includes: determining POI representation data between two target POIs based on service-related data of the target POIs; and determining a competitive relation between the target POIs based on the POI representation data.
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12.发明申请公开(公告)号：US20210389148A1
公开(公告)日：2021-12-16
申请号：US17212251
申请日：2021-03-25
Inventor： Hao Liu , Panpan Zhang , Jianguo Duan , Hui Xiong
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：US20210383802A1
公开(公告)日：2021-12-09
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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公开(公告)号：US20210019564A1
公开(公告)日：2021-01-21
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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Patent Agency Ranking
公开(公告)号：US20220075808A1
公开(公告)日：2022-03-10
申请号：US17480780
申请日：2021-09-21
Inventor： Shuangli Li , Jingbo Zhou , Tong Xu , Hui Xiong
IPC: G06F16/29 , G06F16/9536
Abstract: A method for determining a competitive relation of Points of Interest (POI), and a device are provided in the present disclosure. The specific implementation includes: determining POI representation data between two target POIs based on service-related data of the target POIs; and determining a competitive relation between the target POIs based on the POI representation data.
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16.发明申请公开(公告)号：US20210232986A1
公开(公告)日：2021-07-29
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, each junction therein representing a parking lot, and connecting any two parking lots meeting a predetermined condition through edges; 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. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.
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17.发明申请公开(公告)号：US20210232588A1
公开(公告)日：2021-07-29
申请号：US17021979
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
IPC: G06F16/2457 , G08G1/065 , G06F16/29 , G06N3/08
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, each junction therein representing a parking lot, and connecting any two parking lots meeting a predetermined condition through edges; as for any parking lot i, determining local space correlation information of parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are connected to the parking lot i through edges; determining global space correlation information of the parking lot i at the current time according to a built soft allocation matrix; determining time correlation information of the parking lot i at the current time according to the local space correlation information and global 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. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.
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公开(公告)号：US12165059B2
公开(公告)日：2024-12-10
申请号：US17171507
申请日：2021-02-09
Inventor： Yaqing Wang , Hui Xiong
IPC: G06N3/08 , G06F18/2133 , G06F18/214 , G06N3/047
Abstract: The present disclosure provides a method for generating a recommendation model, a content recommendation method, and a content recommendation apparatus, and an electronic device, and relates to an artificial intelligence field and a deep learning field. The method for generating a recommendation model includes: obtaining a graph training sample set; inputting the graph training sample set into a machine learning model to train the machine learning model, in which the machine learning model includes at least one low-rank graph convolutional network, and the low-rank graph convolutional network includes a complete weight matrix composed of a first low-rank matrix and a second low-rank matrix; in which a training objective of the low-rank graph convolutional network includes a first parameter item, a second parameter item and a non-convex low-rank item; and in responding to detecting that a training end condition is met, determining the machine learning model as a recommendation model.
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19.发明申请公开(公告)号：US20210041257A1
公开(公告)日：2021-02-11
申请号：US16813782
申请日：2020-03-10
Inventor： Yanyan Li , Jianguo Duan , Hui Xiong
Abstract: A method, an apparatus, a computer device and a readable storage medium for processing a position information are provided, the method including: determining a region sequence according to a movement trajectory of a user; counting a user traffic between two position regions included in a target region key-value pair; calculating a public transport efficiency value according to the target region key-value pair; and determining a public transport resource satisfaction degree of the target region key-value pair according to the public transport efficiency value and the user traffic. A computer processes and calculates based on collected user trajectories without the need for investigators to visit, thereby reducing labor costs. In addition, the user trajectories are processed to obtain a public transport resource satisfaction degree between two regions, and the data processing by the computer may avoid manual statistics of investigation results.
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