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POI sorting method and device
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A sorting method and technology of geographical location information, applied in the field of POI sorting method and device, can solve the problem of low sorting accuracy
Pending Publication Date: 2020-10-27
BEIJING DIDI INFINITY TECH & DEV
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[0003] The current POI sorting strategy is usually based on the correlation between POI and retrieved information, which may cause the problem of low sorting accuracy
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example 1
[0122] Example 1: The input string of the sample retrieval information includes: "M", "M City", "M City South", and "M City South Station"; and: the sample geographic location information corresponding to the sample retrieval information includes: loc1 ; Then the corresponding sample state information S1~S4 are respectively:
[0127] Example 2: If the input character string of the sample retrieval information includes: "M City South" and "M City South Station"; and the sample geographic location information corresponding to the sample retrieval information includes loc1, then the corresponding sample status information S1-S2 respectively for:
[0128] S1: (M city south, loc2);
[0129] S2: (M City South Station, loc2).
[0130] Subsequent to the above S301, the method for determining the POI value determination model provided by the embodiment of the present application further includes:
[0131] S303: Construct a set of sample action information under each piece of state information based on a POI set corresponding to each input character string in each piece of sample retrieval information.
[0132] Here, the sample action information set is the result of sorting the POIs after the client searches based on the input string and obtains the POI information corresponding to the input string.
[01...
Embodiment 2
[0230] refer to Figure 7 As shown, it is a schematic diagram of a POI sorting device provided in Embodiment 2 of the present application, and the device includes: a first acquisition module 71, a second acquisition module 72, a value score determination module 73, and a sorting module 74; wherein,
[0231] The first obtaining module 71 is used to obtain the geographic location information of the client and the search information input by the user through the client;
[0232] The second acquiring module 72 is configured to perform a search based on the search information, and obtain multiple pieces of candidate POI information corresponding to the search information;
[0233] A value score determination module 73, configured to determine the value score of each piece of candidate POI information based on the geographic location information, the candidate POI information, and a pre-obtained POI value determination model;
[0234] A sorting module 74, configured to sort each pi...
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Abstract
The invention provides an interest point POI sorting method and device. The method comprises the following steps: acquiring geographic position information of a client and retrieval information inputby a user through the client; performing retrieval based on the retrieval information, and obtaining multiple pieces of alternative POI information corresponding to the retrieval information; determining a value score of each piece of alternative POI information based on the geographic position information, the alternative POI information and a pre-obtained POI value determination model; and according to the value score of each piece of alternative POI information, sorting each piece of alternative POI information. According to the method, the value score of each piece of alternative POI information is determined on the basis of the geographic position information of the client, and the alternative POI information is sorted on the basis of the value score of each piece of alternative POI information, so that the POI sorting accuracy is improved.
Description
technical field [0001] The present application relates to the technical field of information retrieval, and in particular, to a method and device for sorting POIs. Background technique [0002] Information retrieval plays an important role in many fields. In many application scenarios, multiple predicted retrieval results will be recalled and displayed for the user based on the current character entered by the user. For example, when a user retrieves a Point of Interest (POI) through a car-hailing client, each time the user inputs a character on the human-computer interaction interface of the client, the client will recall the search results based on the currently entered character; In the face of massive data, there are too many recalled POI information. Therefore, it is necessary to sort the recalled POIs according to the preset sorting strategy, and display the top N POIs on the human-computer interaction interface according to the sorting of POIs. . [0003] The curre...
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