Behavior prediction method and device based on behavior co-occurrence network, equipment and medium

A prediction method and behavior technology, applied in the field of artificial intelligence, can solve problems such as difficulty in distinguishing, unclear user behavior subjects, and insufficient model prediction accuracy, and achieve the effect of good behavior information, behavior prediction, and enhanced discrimination.

Pending Publication Date: 2020-11-17
CHINA PING AN LIFE INSURANCE CO LTD
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AI Technical Summary

Problems solved by technology

[0003] However, even for the click behavior of the same user, because the user may do different things at different times, if the behavior segment is not distinguished, it will cause a variety of

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  • Behavior prediction method and device based on behavior co-occurrence network, equipment and medium
  • Behavior prediction method and device based on behavior co-occurrence network, equipment and medium
  • Behavior prediction method and device based on behavior co-occurrence network, equipment and medium

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Embodiment Construction

[0059] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0060] Such as figure 1 Shown is a flow chart of a preferred embodiment of the behavior prediction method based on the behavior co-occurrence network of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0061]The behavior prediction method based on the behavior co-occurrence network is applied to one or more electronic devices, and the electronic device is a device that can automatically perform numerical calculation and / or information processing according to preset or stored instructions, Its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmabl...

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Abstract

The invention relates to the field of artificial intelligence, and provides a behavior prediction method and device based on behavior co-occurrence network, equipment and a medium, which can obtain behavior information of a target user, and divide behaviors of the target user into at least one behavior segment according to occurrence time of each behavior so as to distinguish the behaviors of theuser. Different action subjects are effectively decoupled, behavior information of a user is better learned, a target behavior co-occurrence network is constructed based on behavior segments and inputinto a pre-constructed behavior prediction model, a prediction result is output, and the behavior prediction model is obtained based on Graph Pooling and co-occurrence network training. The behaviorco-occurrence relation is constructed through the divided behavior segments, the target behavior co-occurrence network is constructed, the distinction degree between the behavior segments is enhanced,model prediction is more accurate, and then behavior prediction of the user is achieved based on an artificial intelligence means. The invention also relates to a blockchain technology, and the behavior prediction model and the prediction result can be stored in the blockchain.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a behavior prediction method, device, equipment and medium based on a behavior co-occurrence network. Background technique [0002] The behavior sequence modeling method adopted in the prior art generally expresses user behavior information as a sequence, and performs modeling based on the sequence model, expresses behaviors such as clicks as a discrete and continuous sequence, and then intercepts the most recent period of time. Behavior or several recent behavior actions, let the model learn the user's behavior information. [0003] However, even for the click behavior of the same user, because the user may do different things at different times, if the behavior segment is not distinguished, it will cause a variety of heterogeneous information to be coupled together, making it difficult to distinguish. The subject of behavior is unclear, which further le...

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06N20/00
CPCG06N3/08G06N20/00G06N3/045
Inventor 萧梓健杜宇衡
Owner CHINA PING AN LIFE INSURANCE CO LTD
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