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Method and device for processing interaction sequence data

A technology of interactive sequences and sequences, applied in the field of machine learning, can solve problems such as difficulty in feature expression

Active Publication Date: 2019-12-20
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the interaction event involves both parties, and the state of each participant can change dynamically. Therefore, it is very difficult to accurately express the characteristics of the interaction participants by comprehensively considering the various characteristics of the interaction participants.

Method used

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  • Method and device for processing interaction sequence data
  • Method and device for processing interaction sequence data

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Experimental program
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Embodiment approach

[0148] According to an implementation manner, the aforementioned current node is a node: in the dynamic interaction graph, there is no connection edge pointing to this node.

[0149] In one embodiment, the first target node is a node to which no connecting edge exists in said dynamic interaction graph.

[0150] According to an implementation manner, the nodes within the predetermined range include: nodes within a preset number K of connection edges; and / or nodes whose interaction time is within a preset time range.

[0151] In one embodiment, each interaction event further includes the event characteristics of the interaction event; in this case, the node characteristics of each node include the attribute characteristics of the object corresponding to each node, and the interaction The event characteristic of the event.

[0152] In one embodiment, the apparatus 800 further includes a first prediction unit (not shown), configured to predict the classification category of the o...

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Abstract

The embodiment of the invention provides a method and device for processing interaction sequence data. The method includes the steps: firstly, obtaining a dynamic interaction graph constructed according to a dynamic interaction sequence, wherein the dynamic interaction sequence comprises a plurality of interaction events arranged according to a time sequence, and the dynamic interaction graph comprises nodes representing all interaction objects in all the interaction events, and any node i points to two nodes corresponding to a previous interaction event in which an object represented by the node i participates through a connecting edge; and in the dynamic interaction graph, determining a target sub-graph corresponding to the target node, the target sub-graph comprising nodes starting fromthe target node and arriving within a predetermined range via the connection edge. Therefore, the feature vector corresponding to the target node can be determined based on the node feature of each node contained in the target sub-graph and the pointing relationship of the connection edges between the nodes.

Description

technical field [0001] One or more embodiments of this specification relate to the field of machine learning, and in particular to a method and device for processing interaction sequence data using machine learning. Background technique [0002] In many scenarios, user interaction events need to be analyzed and processed. Interaction events are one of the basic elements of Internet events. For example, the click behavior when a user browses a page can be regarded as an interaction event between the user and the content block of the page, and the purchase behavior in e-commerce can be regarded as the interaction event between the user and the product. The interaction event between accounts, and the transfer behavior between accounts is the interaction event between users. A series of user interaction events contains the characteristics of the user's fine-grained habits and preferences, as well as the characteristics of the interactive objects, which are important feature sou...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06K9/62
CPCG06N3/049G06N3/08G06F18/24
Inventor 常晓夫文剑烽刘旭钦宋乐漆远
Owner ADVANCED NEW TECH CO LTD
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