Geographic information retrieval method and device, electronic equipment and readable storage medium
A technology of geographic information and geographic location, which is applied in the fields of devices, geographic information retrieval methods, electronic equipment and readable storage media, and can solve problems such as poor geographic information retrieval speed and accuracy.
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Embodiment 1
[0152] A geographical information retrieval method provided in the embodiment of the present application can be applied to electronic devices such as servers used in various fields, for example, can be applied to various business scenarios such as online car-hailing, express delivery, transportation, and transaction services. like figure 1 As shown, the method of the present embodiment includes:
[0153] S101: Obtain a POI query statement input by a user on a terminal and current latitude and longitude information of the terminal.
[0154] During the process of retrieving POI information at the terminal, the user will continuously input query sentences into the search box, and the above query sentences may also be referred to as query statement information (query). In the process of geographic information retrieval, it is necessary to obtain the query sentence input by the user on the terminal and the current latitude and longitude information of the terminal in real time.
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Embodiment 2
[0214] In the geographical information retrieval method provided in the embodiment of the present application, for each candidate POI information, input the query statement, the current latitude and longitude information of the terminal and the candidate POI information into the pre-trained machine learning model to obtain the candidate POI The similarity between the information and the query statement. like image 3 Shown is a schematic diagram of the model structure of the machine learning model used in the geographic information retrieval method provided in the embodiment of the present application.
[0215] The above machine learning model includes six layers, from input to output are input split layer 301, embedding layer 302, local feature extraction layer 303, global feature extraction layer 304, feature fusion layer 305 and output layer 306.
[0216] The input of the machine learning model includes: query statement q, candidate POI name n and candidate POI address a i...
Embodiment 3
[0254] The embodiment of the present application also provides a geographic information retrieval device 400, including:
[0255] An acquisition module 401, configured to acquire the query statement input by the user in the terminal and the current latitude and longitude information of the terminal;
[0256] A determining module 402, configured to determine at least one candidate point of interest POI information based on the query statement, the candidate POI information including latitude and longitude information;
[0257] A similarity calculation module 403, configured to determine the similarity between each candidate POI information and the query statement based on the query statement, the current latitude and longitude information of the terminal, and each determined candidate POI information;
[0258] The result selection module 404 is configured to select at least one target POI information from the at least one candidate POI information based on each of the similarit...
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