Related references
Note: Only part of the references are listed.Generative Adversarial Networks: A Survey Toward Private and Secure Applications
Zhipeng Cai et al.
ACM COMPUTING SURVEYS (2021)
Deep-Learning-Enhanced Multitarget Detection for End-Edge-Cloud Surveillance in Smart IoT
Xiaokang Zhou et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support
Xiaokang Zhou et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
Destructure-and-restructure matrix approximation
Xuejiao Yang et al.
INFORMATION SCIENCES (2020)
Disentangled Graph Collaborative Filtering
Xiang Wang et al.
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (2020)
A Parallel Recommender System Using a Collaborative Filtering Algorithm with Correntropy for Social Networks
Jiankun Sun et al.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2020)
Collaborative Filtering-Based Electricity Plan Recommender System
Yuan Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
ACNN-FM: A novel recommender with attention-based convolutional neural network and factorization machines
Guangyao Pang et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Evolving graph construction for successive recommendation in event-based social networks
Shenghao Liu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Real-time Attention Based Look-alike Model for Recommender System
Yudan Liu et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Qitian Wu et al.
WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)
Unified Collaborative Filtering over Graph Embeddings
Pengfei Wang et al.
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19) (2019)
Neural Graph Collaborative Filtering
Xiang Wang et al.
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19) (2019)
Local Matrix Approximation based on Graph Random Walk
Xuejiao Yang et al.
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19) (2019)
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques
Mehrbakhsh Nilashi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Event recommendation in social networks based on reverse random walk and participant scale control
Yijun Mo et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
BiNE: Bipartite Network Embedding
Ming Gao et al.
ACM/SIGIR PROCEEDINGS 2018 (2018)
Variational Autoencoders for Collaborative Filtering
Dawen Liang et al.
WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018) (2018)
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation
Enrico Palumbo et al.
PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17) (2017)
Neural Collaborative Filtering
Xiangnan He et al.
PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17) (2017)
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
Yuxiao Dong et al.
KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2017)
A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs
Pavlos Kefalas et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)
The MovieLens Datasets: History and Context
F. Maxwell Harper et al.
ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS (2016)
Share Paper
