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International Journal of General Systems Volume 42, 2013 - Issue 1: Fuzziness in Systems Modeling
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Articles

Incremental collaborative filtering based on Mahalanobis distance and fuzzy membership for recommender systems

Maytiyanin Komkhao Chair of Computer Engineering, Fernuniversität in Hagen, Hagen, GermanyCorrespondence[email protected]
,
Jie Lu Decision Systems and e-Service Intelligence Lab, Faculty of Engineering and Information Technology, School of Software, Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, Australia
,
Zhong Li Chair of Computer Engineering, Fernuniversität in Hagen, Hagen, Germany
&
Wolfgang A. Halang Chair of Computer Engineering, Fernuniversität in Hagen, Hagen, Germany
Pages 41-66 | Received 09 Dec 2011, Accepted 22 Jun 2012, Published online: 27 Jul 2012

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Chandra Sekhar Kolli, V. V. Krishna Reddy, Tatireddy Subba Reddy, Mohan Kumar Chandol, Durga Bhavani Dasari & Mule RamaKrishna Reddy. Deep learning-based privacy-preserving recommendations in federated learning. International Journal of General Systems 0:0, pages 1-27.
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Articles from other publishers (16)

Mona Bokharaei Nia, Mohammadali Afshar Kazemi, Changiz Valmohammadi & Ghanbar Abbaspour. (2021) Wearable IoT intelligent recommender framework for a smarter healthcare approach. Library Hi Tech 41:4, pages 1238-1261.
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Ghazalak Eslami & Foad Ghaderi. (2022) Incremental trust-aware matrix factorization for recommender systems: towards Green AI. Applied Intelligence 53:10, pages 12599-12612.
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Hatem Soliman, Izhar Ahmed Khan & Yasir Hussain. (2022) Learning to transfer knowledge from RDF Graphs with gated recurrent units. Intelligent Data Analysis 26:3, pages 679-694.
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Shang Shanshan, Gao Mingjin & Luo Lijuan. (2021) An improved hybrid ontology-based approach for online learning resource recommendations. Educational Technology Research and Development 69:5, pages 2637-2661.
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Mutaz Barika, Saurabh Garg, Albert Y. Zomaya, Lizhe Wang, Aad Van Moorsel & Rajiv Ranjan. (2019) Orchestrating Big Data Analysis Workflows in the Cloud. ACM Computing Surveys 52:5, pages 1-41.
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Dalia A. Abd Al lattif & Murtadha M. Hamad. (2020) A Comparative Study of Indexing Techniques Effect in Big Data System Storage Optimization. A Comparative Study of Indexing Techniques Effect in Big Data System Storage Optimization.
Hatem Soliman. (2020) Random Forest Based Searching Approach for RDF. IEEE Access 8, pages 50367-50376.
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Xiang Li & Zhijian Wang. (2017) A new recommendation algorithm combined with spectral clustering and transfer learning. Cluster Computing 22:S1, pages 1151-1167.
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Fatemeh Alyari & Nima Jafari Navimipour. (2018) Recommender systems. Kybernetes 47:5, pages 985-1017.
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Mohammed Wasid & Rashid Ali. (2018) An Improved Recommender System based on Multi-criteria Clustering Approach. Procedia Computer Science 131, pages 93-101.
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Abdullah Gani, Aisha Siddiqa, Shahaboddin Shamshirband & Fariza Hanum. (2015) A survey on indexing techniques for big data: taxonomy and performance evaluation. Knowledge and Information Systems 46:2, pages 241-284.
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Maytiyanin Komkhao, Sunantha Sodsee & Wolfgang A. Halang. 2016. Encyclopedia of E-Commerce Development, Implementation, and Management. Encyclopedia of E-Commerce Development, Implementation, and Management 1088 1101 .
Raciel Yera Toledo, Yailé Caballero Mota & Luis Martínez. (2015) Correcting noisy ratings in collaborative recommender systems. Knowledge-Based Systems 76, pages 96-108.
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Mehrbakhsh Nilashi, Othman bin Ibrahim & Norafida Ithnin. (2014) Hybrid recommendation approaches for multi-criteria collaborative filtering. Expert Systems with Applications 41:8, pages 3879-3900.
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Maytiyanin Komkhao, Jie Lu, Zhong Li & Wolfgang A. Halang. 2014. Knowledge Engineering and Management. Knowledge Engineering and Management 453 462 .
Xin Luo, Yunni Xia, Qingsheng Zhu & Yi Li. (2013) Boosting the K-Nearest-Neighborhood based incremental collaborative filtering. Knowledge-Based Systems 53, pages 90-99.
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