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Cluster matching method and system for hotel information

A matching method and hotel technology, which is applied in the field of hotel information clustering matching method and system, can solve the problem that clustering and deduplication methods are not suitable for hotel information database clustering

Active Publication Date: 2020-08-21
CTRIP COMP TECH SHANGHAI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a clustering matching method and system for hotel information in order to overcome the defect that the traditional clustering and deduplication methods in the prior art cannot be used for clustering in the hotel information database under the condition of big data

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  • Cluster matching method and system for hotel information
  • Cluster matching method and system for hotel information
  • Cluster matching method and system for hotel information

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Embodiment Construction

[0107] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.

[0108] figure 1 A flow chart of the method for clustering and matching of hotel information in this embodiment is shown. The cluster matching method of the hotel information includes:

[0109] Step 101, acquire at least one hotel feature information of the hotels to be clustered and at least one hotel feature information of the comparison hotel, and then perform step 102.

[0110] The comparison hotel is obtained through the following methods.

[0111] First establish a hotel information database. In this embodiment, SolrCloud (distributed search solution) is used to establish a hotel information database on the cloud. The hotel information database includes hotel feature information and hotel feature information indexes of several hotels.

[0112] SolrCloud is a distributed full-text search service based on Lucene (full-te...

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Abstract

The invention discloses a cluster matching method and system of hotel information. The method includes the steps of S1, obtaining at least one piece of hotel feature information of a to-be-clustered hotel and at least one piece of hotel feature information of a contrast hotel; S2, calculating the similarity of the hotel feature information of the to-be-clustered hotel and the hotel feature information of the to-be-clustered hotel; S3, calculating the hotel similarity of the to-be-clustered hotel and the contrast hotel. The defects that in a mass-scale hotel information base, when hotels are matched through a traditional matching method, efficiency is low and the error rate is high are overcome. By means of the cluster matching method, a user can more rapidly and accurately find high-similarity hotels in the hotel information base and find the same hotel through cluster matching.

Description

technical field [0001] The invention relates to the field of hotel data management, in particular to a method and system for clustering and matching of hotel information. Background technique [0002] Modern society has entered the era of big data and cloud computing, and the rapid development of the Internet has produced massive amounts of data information. However, there are also a lot of redundant or similar information in these massive data, and at the same time, the information is also mixed with a lot of interference information. In order to obtain the relationship between information, it is necessary to find relevant and similar information through cluster analysis, and then perform clustering or deduplication, and classify related and similar information into the same category for processing. [0003] Existing online travel websites also have the above-mentioned problems when matching hotels. At present, in the hotel information database, the similarity algorithm us...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/31G06F16/35G06Q50/12
CPCG06F16/31G06F16/35G06Q50/12
Inventor 何鸣冯兆龙胡泓陈瑞亮
Owner CTRIP COMP TECH SHANGHAI
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