Method and device for training interaction prediction model and method and device for predicting interaction object

A technology for predicting models and objects, applied in the field of predicting interactive objects and training interactive prediction models, and can solve problems such as difficulty in feature expression

Active Publication Date: 2020-12-15
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • 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 training interaction prediction model and method and device for predicting interaction object
  • Method and device for training interaction prediction model and method and device for predicting interaction object
  • Method and device for training interaction prediction model and method and device for predicting interaction object

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Embodiment approach

[0169] According to an implementation manner, the two nodes in each node pair in the dynamic interaction graph represent objects of the first type and objects of the second type respectively participating in the interaction event; the first node belongs to the object of the first type, and the The second node belongs to the second type of object.

[0170] Further, in one embodiment, the first type of objects and the second type of objects are user objects and item objects respectively; the attribute characteristics of the user objects include at least one of the following: age, occupation, education level, Location, registration time, crowd tags; attribute characteristics of the item object include at least one of the following: item category, shelf time, sales volume, and number of comments.

[0171] In one embodiment, the second node points to a third node pair corresponding to the third interaction event through a connection edge, the third node pair includes a fifth node a...

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Abstract

The embodiment of the invention provides an method and device for training an interaction prediction model and a method and device for using the interaction prediction model. The training method comprises the steps: firstly, constructing a dynamic interaction graph based on an interaction event sequence,determining a first node and a second node corresponding to a current interaction event from the dynamic interaction graph, wherein the first node points to two historical nodes corresponding to a previous interaction event in which the first node participates; using a graph coding network to obtain coding vectors corresponding to the two historical nodes; and inputting the coding vectors and the respective occurrence moments of the two interaction events into a prediction representation network to obtain a first representation vector of the first node; inputting the attribute characteristics of the second node into an attribute coding network to obtain a second attribute vector; predicting the interaction probability according to the first representation vector and the second attribute vector, determining the loss according to the interaction probability, and updating the graph coding network, the prediction representation network and the attribute coding network.

Description

technical field [0001] One or more embodiments of this specification relate to the field of machine learning, and in particular to training an interaction prediction model, and a method and device for predicting interactive objects using the trained interaction prediction model. 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 characteris...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/04G06N3/08G06N20/00
CPCG06Q10/04G06N3/08G06N20/00G06N3/044G06N3/045
Inventor 常晓夫
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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