Correlation rule recommendation algorithm based intelligent pushing method and system for internet-of-vehicles information
A recommendation algorithm and Internet of Vehicles technology, which is applied in the field of intelligent push of Internet of Vehicles information based on association rule recommendation algorithms, can solve problems such as extensive push information, inability to mine and analyze users' needs, and inability to meet users' personalized needs, etc., to improve user experience. The effect of experience
Inactive Publication Date: 2016-08-24
SHENZHEN LOULAN BRILLIANT TECH
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Problems solved by technology
[0003] One of the purposes of the present invention is to address the above-mentioned deficiencies, to provide a method for intelligently pushing information of the Internet of Vehicles based on an association rule recommendation algorithm, in order to solve the problem that the Internet of Vehicles platform in the prior art can only push information in a simple and extensive manner, and cannot provide information to users. Mining and analyzing the requirements, unable to meet the individual needs of users and other technical problems
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[0024] The present invention will be further elaborated below in conjunction with the accompanying drawings.
[0025] refer to figure 1 and figure 2 As shown, one embodiment of the present invention is a method for intelligently pushing Internet of Vehicles information based on an association rule recommendation algorithm. The method includes and is preferably executed according to the following steps:
[0026] Step S1, the platform server acquires the user historical behavior data of the Internet of Vehicles user terminal; the user historical behavior data includes at least a user identifier and a service identifier corresponding to the user identifier;
[0027] Step S2, reference image 3 As shown, the platform server uses the user ID in the user's historical behavior data as a clue to find out all the service IDs corresponding to the user ID, and then builds a service ID matrix according to the user ID and its corresponding service ID list, and in the service ID matrix ...
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The invention discloses a correlation rule recommendation algorithm based intelligent pushing method and system for internet-of-vehicles information, and belongs to a computer correlation information pushing method. The method comprises the following steps that step A, a platform server obtains user historical behavior data of an internet-of-vehicles user terminal; and step B, the platform server finds out all service identifiers corresponding to a user identifier by taking the user identifier in the user historical behavior data as a clue, constructs a service identifier matrix according to the user identifier and a service identifier list corresponding to the user identifier, and makes statistics on a usage frequency of each service identifier and the like in the service identifier matrix. The platform server obtains and deeply analyzes the user historical behavior data of the internet-of-vehicles terminal to effectively mine an actual demand of a user, accurately locates a personalized demand of the user according to a tag definition and then performs targeted information pushing, so that the user experience and the user viscosity can be effectively improved.
Description
technical field [0001] The present invention relates to a method for pushing associated information, more specifically, the present invention mainly relates to a method and system for intelligently pushing Internet of Vehicles information based on an association rule recommendation algorithm. Background technique [0002] As the Internet of Vehicles cloud platform is gradually connected to a large number of vehicles, equipment, and applications, content and services, the Internet of Vehicles cloud platform has aggregated a large number of customer resources, as well as resources such as products and applications. The important function of interaction, how to actively push the appropriate products, content and services to users at the right time and place in the right way has become an important function point that the Internet of Vehicles platform needs to realize, while similar platforms in the existing technology It can only push information to users in a simple and extens...
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Inventor 田雨农杨华曹临志
Owner SHENZHEN LOULAN BRILLIANT TECH