Interest point sorting method and device

Abstract

The embodiment of the invention discloses an interest point sorting method and device, and can determine word weights corresponding to segmented words in keywords when the keywords used for searchinginterest points are obtained, wherein the keywords generally comprise one or more segmented words; wherein the word weight of any segmented word can identify the degree of correlation between the segmented word and the search purpose embodied by the keyword; that is to say, it is possible to obtain a product, wherein the higher the word weight of one segmented word is; wherein the word segmentation is more consistent with the search purpose embodied by the keyword; therefore, in the process of determining the sorting value of the interest points in the search result corresponding to the keyword, the keyword is searched; the word weight can be used as a basis for adjusting the sorting value of the interest points; the sorting value is the basis of the display position sequence when the interest points are displayed; therefore, when the interest points are sorted according to the sorting values determined by the word weights, the preferentially displayed interest points are highly related to the high-word-weight segmented words and more accord with the search purpose embodied by the keywords, the possibility of misleading the user is reduced, and the search experience of the user isimproved.

Description

technical field [0001] The present application relates to the field of map search, in particular to a method and device for sorting points of interest. Background technique [0002] The electronic map configured on the terminal can provide users with convenient map guidance services. For example, the electronic map may display to the user a point of interest (Point of Interest, POI) corresponding to the keyword at a corresponding position on the electronic map as a guide according to the keyword input by the user. [0003] At present, the sorting order of POIs corresponding to keywords is mainly determined according to the degree of repetition of characters. The higher the degree of repetition between POIs and keywords, the more preferentially displayed to users. For example, if the keyword is "Beijing Normal University", the POI corresponding to this keyword includes "Beijing University of Posts and Telecommunications". Since the POI "Beijing University of Posts and Teleco...

AI Technical Summary

Problems solved by technology

For example, if the keyword is "Beijing Normal University", the POI corresponding to this keyword includes "Beijing University of Posts and Telecommunications". Since the POI "Beijing University of Posts and Telecommunications" has a high degree of repetition of characters with this keyword, it will be displayed very high location, which may mislead users and bring a bad user search experience

[0004] It can be seen that the POI sorting effect of the above method is not good, and POIs with little relevance may be displayed to users first.

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