Map searching method and system

Abstract

The invention provides a map searching method and system. The map searching method includes searching nationwide according to query inputted by users when the query inputted by the users fails to call back search results in current cities or the callback search results are dissatisfied with the preset conditions; when the search results are judged to be dissatisfied with the condition of uniformity in nationwide distribution, judging whether the cities corresponding to the search results is met with the preset skip condition or not according to matching degree of POI data of the search results and the pre-generated query; if yes, switching the current city to the city meeting the skip condition, and providing the search results of the query of the cities meeting the skip condition. According to the technical scheme, searching cost of map searching applications is reduced while searching efficiency is improved.

Description

【Technical field】 [0001] The invention relates to a search technology for Internet applications, in particular to a map search method and system. 【Background technique】 [0002] At present, the text segmentation technology is used in the map search engine to analyze the query word (query) input by the user, extract the location information in the query, identify the cities in the search results according to the analysis results, and give the cities with tendencies. The search results; for example, the query entered by the user is "Nanjing Road, Shanghai" or "Nanjing Road, Shanghai", and the query is analyzed to find that "Shanghai" is an administrative region, so that we can know that the user wants to get the search results of Shanghai, The city that gets the user's search tends to be Shanghai, and the search results of the query in Shanghai are required. Therefore, the map search engine will search for "Nanjing Road" within the scope of Shanghai, and will not initiate sear...

AI Technical Summary

Problems solved by technology

[0003] However, according to the statistics of user search logs, it is found that the query entered by the user does not necessarily contain location information, and most users only search according to their own intentions; moreover, the user does not know the current city will play a significant role in the search results; some The wireless client does not even support the positioning function, so it cannot identify the current city where the user is located, so the map search engine can only provide the user with a list of cities that recall the search results; for example, if figure 1 As shown, when the user enters "Chinese Academy of Traditional Chinese Opera" when the current city is "Shanghai", the map search engine cannot know which city in China the Chinese Academy of Traditional Chinese Opera is located based on the query, and the current city "Shanghai" does not have any search results. The map search engine can only initiate a nationwide search, and will recall search results in multiple cities across the country

[0004] Therefore, the implementation method of the prior art will cause the map search engine to only use the text word segmentation technology to provide search results, and will not be able to accurately understand the city tendency contained in the user's search intention, but will directly provide the user with a city list, and the user needs to further search in the city list. Only after the selected city can jump to the city, and then obtain the required search results, if the user does not know which city, the user will search repeatedly, which will increase the user's operating cost and make the user experience poor; Brings additional burden and lower search efficiency

Moreover, according to the user click log, users do not understand the role of the city list, resulting in a small proportion of users clicking on the city list, resulting in a waste of search resources for map search engines, and users cannot obtain satisfactory search results

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