A Non-Negative Matrix-Factorization-Based Network Embedding Approach for Hybrid Recommender Systems

Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things ◽

10.1145/3398329.3398345 ◽

2020 ◽

Author(s):

Qingxian Wang ◽

Mei Long ◽

Han Yang

Keyword(s):

Recommender Systems ◽

Matrix Factorization ◽

Network Embedding ◽

Hybrid Recommender Systems ◽

Hybrid Recommender ◽

Non Negative Matrix Factorization

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Hybrid Recommender Systems Process, Challenges, Approaches and Metrics

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i5.10241033 ◽

2018 ◽

Vol 6 (5) ◽

pp. 1024-1033

Author(s):

K.Reka . ◽

◽

◽

T.N.Ravi .

Keyword(s):

Recommender Systems ◽

Hybrid Recommender Systems ◽

Hybrid Recommender

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Hybrid Recommender Systems

Encyclopedia of Social Network Analysis and Mining ◽

10.1007/978-1-4939-7131-2_100478 ◽

2018 ◽

pp. 1034-1034

Keyword(s):

Recommender Systems ◽

Hybrid Recommender Systems ◽

Hybrid Recommender

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A Multicriteria Evaluation of Hybrid Recommender Systems: On the Usefulness of Input Data Characteristics

Proceedings of the 19th International Conference on Enterprise Information Systems ◽

10.5220/0006315406230633 ◽

2017 ◽

Author(s):

Reinaldo Silva Fortes ◽

Alan R. R. de Freitas ◽

Marcos André Gonçalves

Keyword(s):

Recommender Systems ◽

Multicriteria Evaluation ◽

Hybrid Recommender Systems ◽

Hybrid Recommender

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Case-Based Reasoning as a Prediction Strategy for Hybrid Recommender Systems

Advances in Web Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-24681-7_4 ◽

2004 ◽

pp. 13-22 ◽

Author(s):

Mark van Setten ◽

Mettina Veenstra ◽

Anton Nijholt ◽

Betsy van Dijk

Keyword(s):

Recommender Systems ◽

Case Based Reasoning ◽

Hybrid Recommender Systems ◽

Hybrid Recommender ◽

Prediction Strategy

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CuSNMF: A Sparse Non-Negative Matrix Factorization Approach for Large-Scale Collaborative Filtering Recommender Systems on Multi-GPU

2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC) ◽

10.1109/ispa/iucc.2017.00172 ◽

2017 ◽

Author(s):

Hao Li ◽

Kenli Li ◽

Jiwu Peng ◽

Keqin Li

Keyword(s):

Collaborative Filtering ◽

Recommender Systems ◽

Matrix Factorization ◽

Large Scale ◽

Factorization Approach ◽

Non Negative Matrix Factorization

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Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems∗

2019 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2019.8851715 ◽

2019 ◽

Author(s):

Liying Chen ◽

Honglei Zhang ◽

Jun Wu

Keyword(s):

Recommender Systems ◽

Matrix Factorization ◽

Network Embedding ◽

Social Recommender Systems ◽

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An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs

Information Sciences ◽

10.1016/j.ins.2018.07.060 ◽

2019 ◽

Vol 496 ◽

pp. 464-484 ◽

Author(s):

Hao Li ◽

Keqin Li ◽

Jiyao An ◽

Weihua Zheng ◽

Kenli Li

Keyword(s):

Recommender Systems ◽

Matrix Factorization ◽

Large Scale ◽

Factorization Model ◽

Non Negative Matrix Factorization

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An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2014.2308433 ◽

2014 ◽

Vol 10 (2) ◽

pp. 1273-1284 ◽

Author(s):

Xin Luo ◽

Mengchu Zhou ◽

Yunni Xia ◽

Qingsheng Zhu

Keyword(s):

Collaborative Filtering ◽

Recommender Systems ◽

Matrix Factorization ◽

Non Negative Matrix Factorization

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Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization

IEEE Access ◽

10.1109/access.2017.2788138 ◽

2018 ◽

Vol 6 ◽

pp. 3549-3564 ◽

Author(s):

Jesus Bobadilla ◽

Rodolfo Bojorque ◽

Antonio Hernando Esteban ◽

Remigio Hurtado

Keyword(s):

Recommender Systems ◽

Matrix Factorization ◽

Non Negative Matrix Factorization

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Notice of Violation of IEEE Publication Principles - Hybrid recommender systems: Survey and experiments

2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP) ◽

10.1109/dictap.2012.6215409 ◽

2012 ◽

Author(s):

Vipul Vekariya ◽

G. R. Kulkarni

Keyword(s):

Recommender Systems ◽

Hybrid Recommender Systems ◽

Hybrid Recommender

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