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User preference analysis method and device and readable storage medium

An analysis method and analysis method technology, applied in the field of user preference analysis, can solve the problems of occupying computing resources, insufficient system, waste of user-related information features, etc., to solve the effect of solving the algorithm complexity and improving the analysis results.

Active Publication Date: 2020-09-11
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Description
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Problems solved by technology

[0003] However, this method is very random and not systematic enough to accurately analyze the correlation characteristics of each user, that is, each user uses the same analysis method (such as online browsing records), ignoring the user Its own correlation characteristics and acceptance of products are analyzed based on online browsing records. Although it has a certain degree of intelligence, due to its cookie-cutter approach, it has not achieved what it should be under the premise of occupying a large amount of computing resources. effect, without effectively combining user-related information, resulting in waste of user-related information features

Method used

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  • User preference analysis method and device and readable storage medium
  • User preference analysis method and device and readable storage medium
  • User preference analysis method and device and readable storage medium

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Embodiment Construction

[0052] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0053] The execution subject of the user preference analysis method provided by the embodiment of the present application includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the user preference analysis method can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

[0054] The invention provides a user preference analysis method. refer to figure 1 As shown, it is a schematic flowchart of a user preference analysis method provided by an embodim...

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Abstract

The invention relates to artificial intelligence, and discloses a user preference analysis method. The method comprises: obtaining a user static data set, and screening a first feature data set from the user static data set by utilizing a correlation analysis method; calculating the first feature data set according to a user preference static model to obtain a static preference weight; obtaining auser dynamic data set, and combining the user dynamic data set with the first feature data set to generate a second feature data set; calculating the second feature data set according to a user preference dynamic model to obtain a dynamic preference weight; and establishing a user preference analysis model according to the feature data set and the weight, and executing user preference analysis. The invention also relates to a blockchain technology. The user static data set and the user dynamic data set can be stored in the blockchain. The invention further provides a user preference analysisdevice, electronic equipment and a storage medium. According to the invention, the problem of waste of user feature information during user preference analysis can be solved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device, electronic device and readable storage medium for user preference analysis. Background technique [0002] With the rapid development of network technology, user consumption is gradually shifting from traditional offline to online, making the analysis of users' online behavior very important. At present, the research on user's online behavior is mainly based on the analysis of online browsing records. For example, analyze user behavior based on user online browsing records, and recommend user insurance plans. [0003] However, this method is very random and not systematic enough to accurately analyze the correlation characteristics of each user, that is, each user uses the same analysis method (such as online browsing records), ignoring the user Its own correlation characteristics and acceptance of products are analyzed based on online b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/08G06Q30/02
CPCG06Q40/08G06Q30/0202
Inventor 王斌肖建荣吴仍康
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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