Automatic hotel matching method based on text information extraction

Abstract

The invention discloses an automatic hotel matching method based on text information extraction. The method includes the steps that 1, element extraction is conducted on hotel information of a target hotel, and element extraction is conducted on hotel information of a hotel to be matched; 2, according to extracted elements, a decision-tree algorithm is adopted to calculate the matching degree between the target hotel and the hotel to be matched; the method for conducting the element extraction on a hotel name and a hotel address in the hotel information includes the steps that 1, normalization processing is conducted on a Chinese character sequence, wherein the Chinese character sequence is the hotel name or the hotel address; 2, word segmentation is conducted on normalized text, and a word sequence is obtained; 3, the element extraction is conducted on the wore sequence, and element categories are marked. According to the method, the robustness of the matching is improved, and the disturbance of useless information on the matching process is avoided.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to technical fields such as online travel websites, price comparison platforms, hotel information aggregation, and automatic acquisition of crawler links, and in particular to an automatic hotel matching method based on text information extraction. Background technique [0002] With the rapid development of online travel websites, online hotel booking platforms are gathering, and multiple platforms have launched price comparison functions. In order to compare prices, it is first necessary to determine the matching relationship of hotels on different platforms. In order to reduce the cost of manual matching, most of them use automatic matching methods. However, the traditional matching method using strings has the following disadvantages: [0003] ●Fuzzy matching accuracy is difficult to control; [0004] ●The hotel names are expressed in different ways, resulting in incompatibil...

AI Technical Summary

Problems solved by technology

[0003] ●Fuzzy matching accuracy is difficult to control;

[0004] ●The hotel names are expressed in different ways, resulting in incompatibility;

[0005] ●Address information is expressed in different ways, resulting in inability to match;

[0006] ●The granularity of hotel city expression is different, resulting in incompatibility;

[0007] ●The hotel phone numbers are expressed in different ways, resulting in incompatibility

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