Flight recommendation method and system based on combined recommendation

Abstract

The invention discloses a flight recommendation method and system based on combined recommendation, and relates to the field of aviation informatization management. The method comprises the steps of sending user information and a flight request instruction by a client to a server; calling alternative flights meeting the flight demand information by the server from a database; determining at leasttwo recommendation algorithms to be used according to the number of dominant features and the number of implicit features contained in the user information; and selecting a corresponding recommended flight from the alternative flights according to each recommendation algorithm to obtain a recommendation result of each recommendation algorithm, and combining all the obtained recommendation resultsto determine a final recommended flight. The method and the device can adapt to users with different feature completeness, so that the recommendation accuracy and reliability are improved, the flightmost meeting the requirements of the users can be recommended to the users, the time for selecting the flight by the target user is saved, the recommended flight better meets the requirements of the users, the recommendation accuracy is higher, and the recommendation effect is better.

Description

technical field [0001] The invention relates to the field of aviation information management, in particular to a flight recommendation method and system based on combination recommendation. Background technique [0002] With the rapid development of passenger aviation, airplanes have gradually become the choice of many people when traveling. At present, when users order flights, they usually order on third-party websites. These websites integrate the flight resources of multiple airlines. Then, by setting a few simple options, all eligible flights will be displayed to users. Due to the fierce competition of various airlines, the number of flights opened is very large. Therefore, the amount of data that customers face when choosing flights on these websites is usually very large. It is difficult to choose a flight that meets your needs in a short period of time, which is time-consuming and labor-intensive. [0003] However, the current flight recommendation system sorts the ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a flight recommendation method and system based on combination recommendation, aiming at the time-consuming and labor-intensive process of selecting flights for users in the prior art, and it is difficult to select flights that meet their own needs. The combination of the number of dominant features and the number of recessive features included in the algorithm determines the recommendation algorithm, and then recommends the flight that best meets the user's needs, thereby saving the user's time when choosing a flight, and the recommended flight can meet the various needs of the user.

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