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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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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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Patent Agency Ranking
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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6.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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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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9.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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