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基于深度学习的家政服务推荐系统设计

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21 世纪是一个数据大爆炸的时代,推荐算法对于从海量数据中提取有效的信息发挥着重要的作用,在更好服务用户的同时也能带来巨大的商业价值.以家政服务行业为应用场景,利用深度神经网络[1]构建推荐模型,实现个性化推荐,在此基础上,使用Django框架开发出一款基于深度学习的家政服务推荐系统.
Design of a Deep Learning Based Recommendation System for Domestic Services
The 21st century is an era of data explosion,and recommendation algorithms play an important role in extracting effective information from massive data,which can also bring great business value while better serving users.The main work of this paper is to use the domestic service industry as an application scenario,and use deep neural networks to build a recommendation model to achieve personalised recommendations.Based on which,a deep learning-based recommendation system for domestic services is developed using the Django framework.

recommendation algorithmsdeep neural networksrecommendation systems

李宏滨、王凯文

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太原师范学院计算机科学与技术学院,山西 太原 030602

推荐算法 深度神经网络 推荐系统

2024

山西电子技术
山西省电子工业科学研究院 山西省电子学会

山西电子技术

影响因子:0.197
ISSN:1674-4578
年,卷(期):2024.(2)
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