A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Model

doi:10.1007/978-3-030-52249-0_25

科研成果详情

题名	A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Model
作者	Zuo, Tianyu 1; Zhu, Shenxin1,2 ; Lu, Jian 3
发表日期	2020
会议名称	Science and Information Conference, SAI 2020
会议录名称	Advances in Intelligent Systems and Computing
ISSN	2194-5357
卷号	1228 AISC
页码	347-362
会议日期	16 July 2020-17 July 2020
会议地点	London
摘要	We explain the basic idea of linear mixed model (LMM), including parameter estimation and model selection criteria. Moreover, the algorithm of singular value decomposition (SVD) is also mentioned. After introducing the related R packages to implement these two models, we compare the mean absolute errors of LMM and SVD when different numbers of historical ratings are given. Then a hybrid recommender system is developed to combine these two models together. Such system is proven to have higher accuracy than single LMM and SVD model. And it might have practical value in different fields in the future.
关键词	Hybrid system Linear mixed model Singular value decomposition
DOI	10.1007/978-3-030-52249-0_25
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85088519199
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/11519
专题	个人在本单位外知识产出
通讯作者	Zhu, Shenxin
作者单位	1.Department of Mathematics,Xi’an Jiaotong-Liverpool University,Suzhou,215123,China 2.Laboratory for Intelligent Computing and Finance Technology,Xi’an Jiaotong-Liverpool University,Suzhou,215123,China 3.Guangdong Institute of Aeronautics and Astronautics Equipment & Technology,Zhuhai,China
推荐引用方式 GB/T 7714	Zuo, Tianyu,Zhu, Shenxin,Lu, Jian. A Hybrid Recommender System Combing Singular Value Decomposition and Linear Mixed Model[C], 2020: 347-362.