Complete-cycle data collision low-price tour judgment method and system

Abstract

The invention discloses a full-cycle data collision low-price tour judgment method and system, and the method comprises the steps: obtaining historical price data, and calculating the market price of per capita price in different time periods; performing calculating to obtain market prices of per capita prices corresponding to different destinations according to different travel days; determining a low price threshold value of the market price; extracting a cost factor from the tourism contract data; calculating per capita price in the tourism contract data; comparing the low price threshold of the market price with the per capita price in the tourism contract data, identifying whether the per capita price in the tourism contract data belongs to an unreasonable low-price tourism, and outputting a low-price tourism judgment result. According to the invention, on the basis of the whole-cycle travel big data information, the low price of the low-price travel is estimated through the electronic contract related information, and whether the per capita price in the travel contract data belongs to the unreasonable low-price travel or not can be accurately identified by combining the whole-cycle historical price data and the main travel cost factors, and the future application prospect is good.

Description

technical field [0001] The invention relates to the field of tourism big data processing, in particular to a method and system for judging low-cost tours with full-period data collisions. Background technique [0002] Patent CN201910162037.7 discloses a travel information query system, which includes a human-computer interaction module, a basic travel route requirement input module, a travel route planning module, a travel route revision module, a travel cost query module and an automatic recommendation module. Among them, the travel expense query module is used to carry out corresponding transportation expenses and accommodation on each tourism resource network base station through the web crawler module according to the departure place, destination, scenic spot, hotel, and restaurant corresponding to the travel route output by the travel route revision module Expenses, ticket expenses, and catering expense prices are mined, and the mining results are sent to the display sc...

AI Technical Summary

Problems solved by technology

[0004] The above opinions give five situations that can be identified as unreasonable low-price tours, but they are not specific enough in practical application, and lack practicability and operability

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