相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation
Shi-Ting Zhong et al.
IEEE TRANSACTIONS ON CYBERNETICS (2022)
Learning social representations with deep autoencoder for recommender system
Yiteng Pan et al.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2020)
Deep Learning Architecture for Collaborative Filtering Recommender Systems
Jesus Bobadilla et al.
APPLIED SCIENCES-BASEL (2020)
A novel tourism recommender system in the context of social commerce
Leila Esmaeili et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Machine-Learning Methods for Computational Science and Engineering
Michael Frank et al.
COMPUTATION (2020)
Graph-based context-aware collaborative filtering
Tu Minh Phuong et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Deep Learning Based Recommender System: A Survey and New Perspectives
Shuai Zhang et al.
ACM COMPUTING SURVEYS (2019)
Customer Reviews Analysis With Deep Neural Networks for E-Commerce Recommender Systems
Babak Maleki Shoja et al.
IEEE ACCESS (2019)
Multi-Pointer Co-Attention Networks for Recommendation
Yi Tay et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
A Survey of Recommender Systems Based on Deep Learning
Ruihui Mu
IEEE ACCESS (2018)
Matrix Factorization Model in Collaborative Filtering Algorithms: A Survey
Dheeraj Bokde et al.
PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND CONTROL(ICAC3'15) (2015)
Experimental evaluation of context-dependent collaborative filtering using item splitting
Linas Baltrunas et al.
USER MODELING AND USER-ADAPTED INTERACTION (2014)
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
Katrien Verbert et al.
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES (2012)
MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS
Yehuda Koren et al.
COMPUTER (2009)