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User behavior pattern mining and recommending method and device, electronic equipment and medium

A behavior and user technology, applied in the field of data processing and cloud technology, can solve the problems that user behavior patterns cannot accurately represent user behavior characteristics, user behavior patterns are not accurate enough, etc., and achieve the effect of reducing the amount of data processing

Pending Publication Date: 2022-05-10
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the large amount of noise in the user behavior data, noise, such as wrong data in the user behavior data, based on the user behavior data containing noise, the user behavior pattern obtained by using the traditional method cannot accurately represent the behavior characteristics of the user, that is, the obtained User behavior patterns are not precise enough

Method used

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  • User behavior pattern mining and recommending method and device, electronic equipment and medium
  • User behavior pattern mining and recommending method and device, electronic equipment and medium
  • User behavior pattern mining and recommending method and device, electronic equipment and medium

Examples

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example 1

[0157] The application scenario of this embodiment is a payment operation. The behavior index data of the payment operation includes payment time and payment amount / payment times. The characteristic value in the behavior index data is the payment peak value, and the payment peak value is the peak value of the payment amount, or a preset time period The peak value of the number of payments within the period. The user behavior pattern may be the periodic law of payment operation in time, the periodic law of payment amount and time, or the periodic law of payment times in time. details as follows:

[0158] Obtain the user's payment time and payment times, divide the payment time into hours, and obtain the payment times per hour, determine the peak value of payment times according to the payment times that occur in adjacent hours, and calculate the difference between two adjacent payment times The distance between the peaks in time can be used to obtain the payment cycle when the...

example 2

[0160] The application scenario of this embodiment is information recommendation for users to use food delivery applications. In this scenario, behavior index data of the following two types of information are included: behavior index data corresponding to the payment of food expenses and the payment of fruit expenses respectively, and the behavior index data corresponding to the payment of food expenses The behavioral index data includes payment time and payment amount. The corresponding feature value is the peak value of the payment amount. The time series pattern is the regularity of payment for food and beverages in time. The corresponding behavioral index data for fruit payment is similar and will not be repeated here. details as follows:

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Abstract

The invention relates to the technical field of data processing and cloud technology, and discloses a user behavior pattern mining and recommending method and device, electronic equipment and a medium, and the user behavior pattern mining method comprises the following steps: obtaining multiple pieces of behavior index data of a user, the behavior index data comprises time information and a behavior data index value corresponding to the time information; on the basis of the time sequence information corresponding to the multiple pieces of behavior index data, determining feature values in the behavior data index values, and taking the behavior index data corresponding to the feature values as feature index data; and mining the user behavior pattern of the user based on the characteristic index data. According to the scheme provided by the invention, the user behavior pattern is obtained through data calculation, and the recognition accuracy of the user behavior pattern is improved.

Description

technical field [0001] The present application relates to the technical field of data processing and cloud technology. Specifically, the present application relates to a method, device, electronic device, and medium for mining and recommending user behavior patterns. Background technique [0002] The identification of user behavior patterns plays a positive role in providing users with more timely and accurate server pushes and guiding developers to improve service functions. Analyzing user behavior data, such as user usage data on applications, can provide a basis for mining user behavior patterns. [0003] Existing technologies often directly use the collected user behavior data for clustering to obtain similar user behaviors. However, due to the large amount of noise in the user behavior data, noise, such as wrong data in the user behavior data, based on the user behavior data containing noise, the user behavior pattern obtained by using the traditional method cannot acc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/06G06F16/2458
CPCG06Q30/0201G06Q10/06393G06F16/2465
Inventor 杨昕
Owner TENCENT TECH (SHENZHEN) CO LTD