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Object behavior data storage method, device and system and object behavior estimation method, device and system

A technology of data storage and behavior, applied in the network field, can solve problems such as inaccurate prediction results, and achieve the effect of accurate prediction of object behavior probability, reduction of prediction error rate, and good object behavior prediction

Pending Publication Date: 2021-03-05
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the object's future behavior is estimated through the object's short-term behavior. The inventors of the present invention found that the object's short-term behavior cannot reflect the change of the object's preference over time. Therefore, the object's future behavior is estimated through the object's short-term behavior There will be problems with inaccurate estimates

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  • Object behavior data storage method, device and system and object behavior estimation method, device and system
  • Object behavior data storage method, device and system and object behavior estimation method, device and system
  • Object behavior data storage method, device and system and object behavior estimation method, device and system

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Embodiment 1

[0064] Embodiment 1 of the present invention provides a method for estimating object behavior. The method realizes the estimation of object behavior probability based on object behavior data stored in a memory network model.

[0065] Firstly, it introduces the method of realizing object behavior data storage based on the memory network model. The process is as follows: figure 1 shown, including the following steps:

[0066] S11: Obtain the current operation behavior of the object for displaying information;

[0067] S12: When the current operation behavior is the Nth operation behavior accumulated by the object, according to the value of N and the preset memory slot update rules of the memory network model, determine the level of the memory slot to be updated in the memory network model, Among them, the memory network model is used to record the behavioral memory data of the object;

[0068] S13: Update the behavior memory data of the object recorded in the memory slot corre...

Embodiment 2

[0082] Embodiment 2 of the present invention provides a specific memory network model for implementing the above object behavior data storage method, such as a hierarchical periodic memory neural network (Hierarchical Periodic Memory Network, HPMN), see image 3 As shown, the memory network is an example of a 4-layer network architecture, which can realize the maintenance of object behavior data of a single object. The memory network includes 4 memory slots (D=4), and each memory slot can be set with an update cycle. For example: the jth memory slot corresponding to the jth layer maintains an update period of t j For object behavior data, the update cycle of memory slots at different levels obeys an exponential distribution. For example, V1-V8 in the figure represents a complete update cycle, and V9-V16 represents a complete update cycle. m j Indicates the content maintained in the memory slot, which is a vector representation of the behavior characteristics of the object. Ea...

Embodiment 3

[0089] Embodiment 3 of the present invention provides a method for predicting the behavior of an object, based on the behavior memory data of the object recorded in the HPMN model to realize the prediction of the behavior of the object, and the process is as follows Figure 4 As shown, the principle is as Figure 5 As shown, the method includes the following steps:

[0090] Step S101: Generate a feature vector of the display information according to the feature data of the display information.

[0091] refer to Figure 5As shown, the display information-related feature part is based on the display information data to obtain the display information feature vector. Each display information has attribute information that is different from other display information, such as the name of the display information, the geographical location, some descriptions of the display information, and so on. Therefore, obtaining the characteristic data of the display information includes at le...

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Abstract

The invention discloses an object behavior data storage method, device and system and an object behavior estimation method, device and system. The estimation method comprises the steps of obtaining behavior memory data of a to-be-estimated object recorded in a memory slot of each level in a memory network model; performing weighted calculation on the behavior memory data of the object obtained from the memory slots of different levels to obtain long-term behavior memory data of the object; and taking the feature data of the display information, the static feature data of the object and the long-term behavior memory data of the object as input of a click estimation model to obtain an object behavior probability estimation result of the object for the display information. When the object behavior probability is estimated, long-term and / or short-term object behavior data can be considered as required, so that an estimation result is more accurate, and display information which better meets requirements is recommended to the object.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a method, device and system for object behavior data storage and object behavior prediction. Background technique [0002] With the development of the network, the speed of dissemination and update of information is getting faster and faster, which makes the behavior of the object present the characteristics of short-term and variability. For example, the same object (such as a user) may exhibit different behaviors in different scenarios and at different time points, and the reasons behind it may be the change of the object's role, the migration of the object's interest, and so on. How to accurately predict the change of object behavior has become a difficult problem in the field of big data analysis and mining when there are more and more factors that lead to uncertain behavior of objects. [0003] In the prior art, the object's future behavior is estimated through the object'...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06N3/04G06N3/08
CPCG06F16/9535G06N3/084G06N3/045
Inventor 朱小强任侃秦佳锐房宇辰周国睿卞维杰许俭郑雷盖坤俞勇张伟楠
Owner ALIBABA GRP HLDG LTD
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