Point of interest searching method and point of interest searching device

Abstract

The invention discloses a point of interest searching method and a point of interest searching device. According to the point of interest searching method and the point of interest searching device, search words inputted by a user are subjected to semantic analysis to obtain user's search intention, so that POI (point of interest) search accuracy is improved. The method includes subjecting the search words inputted by the user to address level marking to obtain address level fragments; ranking the address level fragments according to a high-to-low sequence of administrative division levels, and combining the ranked address level fragments to obtain corrected search words; correcting preset city codes according to the administrative division levels of the ranked address level fragments and administrative division levels corresponding to the preset city codes; performing geographic coding according to the corrected search words and the corrected city codes to obtain geographic coding information including administrative address level information and geographic ranges; comparing the administrative address level information with the ranked address level fragments to correct the geographic ranges; performing point of interest search within the corrected geographic ranges according to the corrected search words.

Description

technical field [0001] The invention relates to the technical field of geographic information, in particular to a method and device for searching for points of interest. Background technique [0002] At present, searching for POI (Point of Interest) through an information search engine has become one of the main means for people to obtain POI. Generally, the information search engine will analyze the user's query intention according to the query words input by the user, then perform POI search according to the analyzed query intention, and feed back the POI information obtained from the search to the user. [0003] At present, it is relatively broad to determine the user's query intent based on the query words entered by the user, that is, it is enough to identify the areas that the user generally wants to pay attention to, and does not perform semantic analysis on the query words entered by the user to obtain the user's query intent. For example, if the query word entered ...

AI Technical Summary

Problems solved by technology

However, for some POI searches, the query words entered by the user are wrong or ambiguous, and the information search engine cannot accurately analyze the user's query intention. For example, if the user enters "Shanghai Huating Hotel", the user wants to query "Huating Hotel" in Shanghai Still want to inquire about all the hotels in Huating Town, Shanghai; and if the user inputs "Tianjin Hebei Building", whether the user wants to inquire about "Hebei Building" in Tianjin or inquire about "Tianjin Building" in Hebei Province, the current information search engine does not Cannot accurately analyze the user's query intention, thus resulting in low accuracy of POI search

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