CNIPA.AI
返回搜索
档案

System and Method for Edge-cloud Collaborative Recommendation, and Electronic Device

发明专利审中
6浏览
22权利要求 · 5 独立
§ Ⅰ

卷宗概要

发明人

Jiangchao YAO; Feng WANG; Hongxia YANG; Jingren ZHOU; Fei WU; Kun KUANG

IPC 分类

G6Q 30/601

CPC 分类

G6Q30/631

Embodiments of the present disclosure provide a system and method for edge-cloud collaborative recommendation, and an electronic device. The system for edge-cloud collaborative recommendation includes: a terminal device and a cloud server. The cloud server is arranged for: obtaining user feature data of the terminal device; selecting, based on a relative recommendation matching degree between multiple recommendation models and the user feature data, a matched recommendation model from the multiple recommendation models, the multiple recommendation models including an end-side recommendation model deployed in the terminal device and a cloud-side recommendation model deployed in the cloud server, and the relative recommendation matching degree indicating a relative recommendation effect of the multiple recommendation models on the user feature data; and recommending to the terminal device based on the matched recommendation model. According to the solution of the embodiments of the present disclosure, efficient collaboration between the end side recommendation model and the cloud side recommendation model can be implemented, and the recommendation effect can be improved.

原文(中文)

Embodiments of the present disclosure provide a system and method for edge-cloud collaborative recommendation, and an electronic device. The system for edge-cloud collaborative recommendation includes: a terminal device and a cloud server. The cloud server is arranged for: obtaining user feature data of the terminal device; selecting, based on a relative recommendation matching degree between multiple recommendation models and the user feature data, a matched recommendation model from the multiple recommendation models, the multiple recommendation models including an end-side recommendation model deployed in the terminal device and a cloud-side recommendation model deployed in the cloud server, and the relative recommendation matching degree indicating a relative recommendation effect of the multiple recommendation models on the user feature data; and recommending to the terminal device based on the matched recommendation model. According to the solution of the embodiments of the present disclosure, efficient collaboration between the end side recommendation model and the cloud side recommendation model can be implemented, and the recommendation effect can be improved.