Recommendation method for vehicle rental information

Abstract

The invention provides a recommendation method for vehicle rental information. The recommendation method comprises the following steps that: A: obtaining vehicle information tags from at least two ofthe car utilization record of a user, the social record of the user, the car utilization record of the friends of the social network of the user and the social record of the friends of the social network of the user; B: selecting the vehicle information tag in which the user is interested from the obtained vehicle information tags; and C: according to the vehicle information tag in which the useris interested, recommending the vehicle rental information to the user. By use of the recommendation method for the vehicle rental information, the vehicle information tags can be obtained from the car utilization record of the user and the friends of the social network of the user and / or the social record of the user and the friends of the social network of the user, the vehicle information tagin which the user may be most possibly interested can be mined, the vehicle rental information is recommended to the user according to the vehicle information tags in which the user is interested, individual service is realized, so that more accurate vehicle rental information can be recommended to the user, and the recommendation method is beneficial for providing more convenient and efficient electric vehicle time-phased rental service for users.

Description

technical field [0001] The invention relates to the technical field of vehicle leasing, in particular to a method for recommending vehicle leasing information. Background technique [0002] With the rapid development of the country's sharing economy, the application of time-sharing rental of electric vehicles is playing an increasingly important role in people's lives. People's application of the "Internet + time-sharing lease" mode of travel makes users not only consumers of information, but also producers of information. Users purchase electric vehicle services through electric vehicle service platforms such as Car2Go, Panda, and Evcard, which generate massive transaction data and related comments and other information. After the user uses the new travel mode, the user will rate the experience, comment, and even rate the service. As a result, a large amount of data is generated. [0003] At present, the traditional vehicle rental information recommendation methods provi...

AI Technical Summary

Problems solved by technology

[0003] At present, the traditional vehicle rental information recommendation method provided by the rental business on the market has the following disadvantages: 1) Each operator only analyzes individual data for a single user to provide users with car rental services, and cannot realize social group data analysis

2) The traditional vehicle rental information recommendation method is only based on the user's usage as the top collection of its data, which cannot achieve accurate car rental service recommendation

3) The conventional vehicle rental information recommendation method helps users filter information, but this "one-to-many" information service method only meets the mainstream needs and cannot meet individual needs

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