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Resource data processing method and device, computer equipment and storage medium

A processing method and technology of resource data, applied in the Internet field, can solve the problems of consuming server memory resources and server downtime, and achieve the effect of saving memory resources and preventing downtime

Pending Publication Date: 2021-05-04
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the prediction of the resource status in the future time period is usually to predict the resources according to the preset series of rules. When there are a large number of resources to be predicted, each resource is predicted according to the preset series of rules, which will consume a lot of servers. memory resources, causing server downtime in severe cases

Method used

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  • Resource data processing method and device, computer equipment and storage medium
  • Resource data processing method and device, computer equipment and storage medium
  • Resource data processing method and device, computer equipment and storage medium

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Embodiment Construction

[0076] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0077] Machine learning (Machine Learning, ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Specializes in the study of how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their performance. Machine learning is the core of artificial intelligence and the fundamental way to make computers intelligent, and its application pervades all...

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Abstract

The invention relates to a resource data processing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a self historical resource state trend corresponding to a to-be-processed resource identifier; inputting the to-be-processed resource identifier and the own historical resource state trend into a resource trend prediction model, and obtaining a neighbor resource identifier corresponding to the to-be-processed resource identifier by the resource trend prediction model, determining a first resource state prediction trend corresponding to the to-be-processed resource identifier according to a neighbor attention coefficient between the neighbor resource identifier and the to-be-processed resource identifier, a neighbor historical resource state trend corresponding to the neighbor resource identifier, a self historical resource state trend and a self attention coefficient corresponding to the to-be-processed resource identifier, wherein the resource trend prediction model is a graph attention network model obtained by training according to a training history resource state trend and a corresponding resource state label trend. By adopting the method, the accuracy of resource state prediction can be improved.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to a resource data processing method, device, computer equipment and storage medium. Background technique [0002] With the development of Internet technology, various network platforms have emerged, which contain various resources, and different resources have different resource states in different time periods. For example, when the resource is a commodity, the commodity has different commodity prices in different time periods. For example, when the resource is a webpage, the webpage has different visits in different time periods. At present, the prediction of the resource status in the future time period is usually to predict the resources according to the preset series of rules. When there are a large number of resources to be predicted, each resource is predicted according to the preset series of rules, which will consume a lot of servers. memory resources, whic...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06N3/04G06N3/08G06Q30/02H04L12/24
CPCG06F9/5016G06F9/5027G06N3/084G06Q30/0202H04L41/147H04L41/0893G06N3/045
Inventor 陈昊
Owner TENCENT TECH (SHENZHEN) CO LTD