基于深度学习的家政服务推荐系统设计
Design of a Deep Learning Based Recommendation System for Domestic Services
李宏滨 1王凯文1
作者信息
- 1. 太原师范学院计算机科学与技术学院,山西 太原 030602
- 折叠
摘要
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.
Abstract
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.
关键词
推荐算法/深度神经网络/推荐系统Key words
recommendation algorithms/deep neural networks/recommendation systems引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据