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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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公开(公告)号：US11683656B2
公开(公告)日：2023-06-20
申请号：US17207601
申请日：2021-03-19
Inventor： Yanyan Li , Xinjiang Lu , Jianguo Duan
IPC: H04W4/021
CPC classification number: H04W4/021
Abstract: A method, device, and medium for recommending a region of interest are provided. The method includes: acquiring access data, the access data including correlation information between any two regions in a region group, in which a correlation between any two regions in the region group is acquired based on a region pair formed by the any two regions in the region group where sample users are located and the number of access times corresponding to the region pair, and in which the region group is acquired based on division of map data, and the map data includes boundary information of an entity in a real world; determining a region where a first user is currently located; and recommending region information of the region of interest for the first user based on the access data and the region where the first user is currently located.
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5.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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Patent Agency Ranking
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：US20210211832A1
公开(公告)日：2021-07-08
申请号：US17207601
申请日：2021-03-19
Inventor： Yanyan Li , Xinjiang Lu , Jianguo Duan
IPC: H04W4/021
Abstract: A method, device, and medium for recommending a region of interest are provided. The method includes: acquiring access data, the access data including correlation information between any two regions in a region group, in which a correlation between any two regions in the region group is acquired based on a region pair formed by the any two regions in the region group where sample users are located and the number of access times corresponding to the region pair, and in which the region group is acquired based on division of map data, and the map data includes boundary information of an entity in a real world; determining a region where a first user is currently located; and recommending region information of the region of interest for the first user based on the access data and the region where the first user is currently located.
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公开(公告)号：US20210209160A1
公开(公告)日：2021-07-08
申请号：US17211193
申请日：2021-03-24
Inventor： Yanyan Li , Jianguo Duan
IPC: G06F16/906 , G01C21/36 , G01C21/00 , H04W4/029 , G06F16/909 , H04W4/021
Abstract: A method and an apparatus for identifying map region words are disclosed. The method includes: obtaining points of interest POI data in the map; determining at least one text word in the POI data as a target word, and performing clustering processing according to location information of some pieces of the POI data to which the target word belongs; and identifying whether the target word is a map region word according to the clustering result of the location information.
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9.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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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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