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In order to realize the hotel online booking price risk measure, this paper puts forward a strategy of multi-path QoS routing based on target perception, using the market risk value measures the hotel online reservation price risk. Through the wireless Mesh model, the establishment of hotel reservation price client network carries out empirical analysis on the five-star, four-star and Samsung hotel online reservation price index as the source of data and carries out the related distribution models to test the data, and then using the QoS risk target search calculates market risk value, which improve a reliable computer target search algorithm for the study of hotel online booking price. Introduction The hotel industry is a higher degree of marketization industry, the guest room price will change with the market factors fluctuate, and hotel room price fluctuations will make the hotel managers facing certain financial and management risks, thereby affecting the hotel's economic and consumer welfare [1-3]. Therefore, through the study and analysis of the hotel online reservation price, the use of certain methods grasps its fluctuation law, and the hotel carries out more effective management and control that have important practical significance [4,5]. This paper uses the QoS node searching path to optimize the design of the hotel risk measurement model, in which the overall frame is shown in Figure 1. Hotel reservation price Mesh network QoS search optimization

Circuit Design for QoS Routing Strategy Based on Target Searching Algorithm