辽宁大学学报（自然科学版）2023，Vol.50Issue(4)：318-324,7.
基于深度学习的推荐系统发展与领域应用研究进展
A Review on the Development and Field Application of Recommendation System Based on Deep Learning
摘要
Abstract
Deep learning is important for machine learning,which is widely used in many fields.Deep learning can learn the intrinsic characteristics of users and items from various complex multidimensional data.Deep learning based recommendation system can make more in line with user preferences.It is effective to solve information overloaded.There are many studies aiming at improving prediction accuracy,optimizing the data,and working with data sparseness and cold start.This paper provides a comprehensive review of the recent deep learning based recommendation systems.We introduce the development of the system and systematically categorize the main technology.Then we introduce the latest research progress and experiment in related fields.The paper shows some common experimental datasets and popular applications of the system.At last,we provide the possible research directions of deep learning based recommendation systems in the future.关键词
推荐系统/深度学习/信息过载/冷启动Key words
recommendation system/deep learning/information overload/cold start分类
信息技术与安全科学引用本文复制引用
王大勇,李丽,孙时光..基于深度学习的推荐系统发展与领域应用研究进展[J].辽宁大学学报（自然科学版）,2023,50(4):318-324,7.基金项目
辽宁省档案科技项目(2021-X-012,2022-X-017) （2021-X-012,2022-X-017）
