Method and device for evaluating interaction events

Abstract

The embodiment of this specification provides a computer-executed method and device for evaluating interaction events, wherein the method includes first obtaining a dynamic interaction graph for reflecting the correlation of interaction events, and then using the two target nodes to be analyzed as the current root nodes , and determine the corresponding two subgraphs in the dynamic interaction graph. Input the two subgraphs into the neural network model to obtain the interaction representation vector corresponding to the interaction of the two target nodes. In the neural network model, the processing layer obtains The hidden vector of each node, the fusion layer uses the compression-transform mechanism to determine the weight estimation of the node according to the hidden vector, and update the input characteristics of the node accordingly, pass it to the next processing layer, and finally obtain the aforementioned interaction representation vector through the output layer . Therefore, based on the interaction representation vector, the interaction event of the interaction between the two target nodes can be evaluated.

Description

technical field [0001] One or more embodiments of this specification relate to the field of machine learning, and in particular to methods and devices for processing and evaluating interaction events 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 fea...

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.

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