Resource recommendation method, device and equipment and storage medium

Abstract

The embodiment of the invention discloses a resource recommendation method, a recommendation model training method and device, and a storage medium, and belongs to the technical field of recommendation. The method comprises the following steps: acquiring resource-related characteristics of a target resource, wherein the resource-related characteristics comprise a resource identifier, resource attribute information and resource environment information; determining a resource recommendation probability of the target resource through a resource recommendation model based on the resource related characteristics, wherein the resource recommendation probability is used for indicating a possibility that the user accepts resource recommendation, and the resource recommendation model is a network model adopting a self-attention mechanism; and performing resource recommendation based on the resource recommendation probability. According to the embodiment of the invention, when resource recommendation is carried out, the resource attribute information and the resource environment information are fused, so the resource recommendation model can more completely extract the resource information based on a self-attention mechanism by combining the information, and the prediction accuracy and the effectiveness of resource recommendation are further improved.

Description

technical field [0001] The present application relates to the technical field of recommendation, and in particular to a resource recommendation method, device, equipment and storage medium. Background technique [0002] With the development of Internet technology, the current network resource platforms such as video playback platforms, e-commerce platforms, and news platforms all carry massive network resources. In order to meet users' fast browsing needs, network resource platforms need to select appropriate Network resources are recommended to users, and network resource recommendation algorithms are the core technical capabilities of each network resource platform. Contents of the invention [0003] Embodiments of the present application provide a resource recommendation method, device, device, and storage medium, which can be used to solve the problem of low effectiveness of resource recommendation in the related art. Described technical scheme is as follows: [0004...

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present application provide a resource recommendation method, device, device, and storage medium, which can be used to solve the problem of low effectiveness of resource recommendation in related technologies

Images