Method and system for sorting electronic map search prompt information

Abstract

The present invention provides a sorting method and system for electronic map search prompt information, wherein the sorting method includes: S1, receiving a search condition fragment, and querying the corresponding search prompt information according to the search condition fragment; S2, obtaining the currently output map area; S3, weighting the search prompt information matching the geographic location in the map area; S4, sorting the corresponding search prompt information according to the weighted weight, and sorting the corresponding search prompt information according to the weight value from large to small Output search prompt information. Compared with the prior art, the beneficial effect of the present invention is that the present invention adopts the map area browsed by the current user as a dimension of electronic map search prompt information sorting, which can provide users with more effective prompt information and guidance, and help users It is easier to find the geographical location, which greatly improves the usability and search efficiency of search prompt information, and saves network traffic.

Description

technical field [0001] The invention relates to an electronic map search method and system, in particular to a sorting method and system for electronic map search prompt information. Background technique [0002] Over the past ten years, with the development of Internet technology, people have become more and more dependent on the rich, fast and timely information provided by the Internet. However, how to find the information to be searched in the vast amount of information has become an urgent problem to be solved. Correspondingly, numerous Internet search engines and corresponding websites have arisen at the historic moment, and the leader in the middle includes Baidu Search (Baidu Search ( www.baidu.com) and Google Search (www.google.cn) of Google Inc. [0003] Among the many information that needs to be searched, one important type of information is to search for address information, and this type of demand is especially paid attention to when searching for online elect...

AI Technical Summary

Problems solved by technology

However, generally speaking, the search prompt information that the user wants to see is usually the relevant search prompt information in the current map area, and the current search prompt information sorting method can only be based on the search conditions entered by the user and the database construction data. Importance weights are sorted so that for the same search condition, the sorting is unique, for example, figure 1 The map area is the whole Beijing, in figure 1 Under the map area, search for "Shangdi", and the output search prompts from top to bottom are: "Shangdi East Road", "Shangdi South Road", "Shangdi East 2nd Road", "Shangdi 2nd Street ", "Shangdi Fourth Street", "Shangdi Fifth Street", and "Shangdi Seventh Street", figure 2 The map area is the Shangdi area of ​​Beijing, in figure 2 In the map area, search for "Shangdi", and the output search prompt information is the same as figure 1 Same, from top to bottom: "Shangdi East Road", "Shangdi South Road", "Shangdi East 2nd Road", "Shangdi 2nd Street", "Shangdi 4th Street", "Shangdi 5th Street" , and "Shangdi Seventh Street"

Such a sorting method, due to the limited number of search prompt information for each search condition, cannot provide the search prompt information that the user really needs in many cases, which not only makes the user's search efficiency low, but also makes it impossible for the user to pass the search. The prompt information pre-determines whether there is geographical location information that matches the search criteria stored in the map database, and it must be found after clicking the search every time, which wastes network traffic

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