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Multi-channel user clustering method

A user clustering and multi-channel technology, which is applied in the field of multi-channel user clustering, can solve problems such as no evaluation indicators, and achieve good clustering and good clustering effects

Pending Publication Date: 2021-02-02
上海昌投网络科技有限公司
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  • Claims
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AI Technical Summary

Problems solved by technology

[0008] For the case of no class standard, there is no unique evaluation index

Method used

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Embodiment 1

[0060] A user clustering method for multiple channels, the method comprising:

[0061] Step 1. Obtain user data. User data includes the user's industry information, life stage, etc.

[0062] Step 2. Perform one-hot encoding on the user data information to obtain a string of 0-1 values ​​to describe the user.

[0063] Step 2 includes:

[0064] Step 2.1. Preprocess the user data, and use one-hot encoding to convert the classification data into a series of 0-1 variables.

[0065] Step 2.2, fill in missing values, and replace missing values ​​with 0.

[0066] Step 2.3. For continuous variables, normalize them so that they reach the same scale, which is convenient for subsequent steps. Normalization mainly uses 0-1 normalization, the maximum value is converted to 1, the minimum value is converted to 0, and the conversion formula is x=(x-min) / (max-min).

[0067] Step 3. Dimensionality reduction is performed on the data, and a point in a three-dimensional space is used to descri...

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Abstract

The invention discloses a multi-channel user clustering method. The method comprises the following steps of: 1, acquiring user data; 2, carrying out one-hot coding on the information of the user datato obtain a string of 0-1 values to describe the user; 3, performing dimension reduction on the data, and describing the user by using a point in a three-dimensional space; 4, modeling the user information by using a DBSCAN algorithm, and adjusting parameters to enable an evaluation index to be a local optimal solution; and 5, performing graphic visualization, and displaying the data. The multi-channel user clustering method provided by the invention is a multi-channel user clustering algorithm, the basic attribute information of the users can be clustered by utilizing the DBSCAN algorithm, and the users can be well clustered after the algorithm is adjusted, so that the users can be better understood.

Description

technical field [0001] The invention relates to a multi-channel user clustering algorithm model, in particular to a multi-channel user clustering method. Background technique [0002] Machine learning is a multi-disciplinary interdisciplinary major, covering probability theory knowledge, statistical knowledge, approximate theoretical knowledge and complex algorithm knowledge, using computers as tools and is committed to real-time simulation of human learning methods, and knowledge structure of existing content Division to effectively improve learning efficiency. [0003] There are several definitions of machine learning: [0004] (1) Machine learning is a science of artificial intelligence. The main research object of this field is artificial intelligence, especially how to improve the performance of specific algorithms in experience learning. [0005] (2) Machine learning is the study of computer algorithms that improve automatically through experience. [0006] (3) Mach...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/906G06K9/62
CPCG06F16/906G06F18/2321G06F18/2135
Inventor 巩乐
Owner 上海昌投网络科技有限公司
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