A method and device for searching a point of interest, and electronic equipment
A search method and technology for points of interest, which are applied in the fields of electronic digital data processing, digital data information retrieval, instruments, etc., can solve the problem of insufficient points of interest, and achieve the effect of improving accuracy
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Embodiment 1
[0025] A method for searching for points of interest disclosed in this application, such as figure 1 As shown, the method includes: step 100 to step 120.
[0026] Step 100, determine the user scenario of the user who generated the search behavior.
[0027] The user's search behavior includes the search behavior initiated by the user after entering the search keyword on a certain page, the search behavior automatically initiated by the page program after the user browses a certain page, and the program automatically after the user performs a search-related operation such as filtering on the page. Initiated searches, etc. This application does not limit the specific method for the user to initiate the search behavior.
[0028] During specific implementation, each search behavior corresponds to a city, which is called the target city of the search behavior in this application. For example, after the user enters the page of city A and initiates a search behavior after entering ...
Embodiment 2
[0039] A method for searching for points of interest disclosed in this application, such as figure 2 As shown, the method includes: Step 200 to Step 240.
[0040] Step 200, creating multiple city POI databases.
[0041] During specific implementation, before constructing the POI library of the city circle, the POI library of each city is preset, and the city POI library includes: a local user POI library and a remote user POI library. Wherein, the POIs in the POI database of local users are POIs concerned by local users in the city, and the POIs in the POI database of remote users are POIs concerned by users in remote places in the city.
[0042] Step 210, training the click rate prediction model and the visit purchase rate prediction model in different periods.
[0043] In the embodiment of the present application, when training the click-through rate prediction model, the search logs of points of interest from T to T+N days are selected as training samples, and the search...
Embodiment 3
[0104] A device for searching a point of interest disclosed in this embodiment, such as Figure 4 As shown, the device includes:
[0105] User scenario determination module 400, configured to determine the user scenario of the user who generated the search behavior;
[0106] City circle point of interest library construction module 410, for the user scenario determined by the user scene determination module 400, construct the city circle point of interest library of the target city corresponding to the search behavior;
[0107]The mixed sorting module 420 is configured to mix and sort the POIs in the city circle POI library built by the city circle POI library construction module 410 based on a preset model and recall them.
[0108] In the implementation of this application, user scenarios include local users and remote users. During specific implementation, the user scene determination module 400 is specifically configured to: determine the resident city or the current loca...
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