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Publication search results
found 348 matches
- 2024
- Fatemeh Rezaimehr, Chitra Dadkhah:
T&TRS: robust collaborative filtering recommender systems against attacks. Multim. Tools Appl. 83(11): 31701-31731 (2024) - Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen:
Collaborative filtering integrated fine-grained sentiment for hybrid recommender system. J. Supercomput. 80(4): 4760-4807 (2024) - Jihene Latrech, Zahra Kodia, Nadia Ben Azzouna:
CoDFi-DL: a hybrid recommender system combining enhanced collaborative and demographic filtering based on deep learning. J. Supercomput. 80(1): 1160-1182 (2024) - Nanna Bach Munkholm, Robert A. Alphinas, Torben Tambo:
Collaborative filtering, K-nearest neighbor and cosine similarity in home decor recommender systems. CoRR abs/2402.06233 (2024) - 2023
- Tin T. Tran, Václav Snásel, Loc Tan Nguyen:
Combining Social Relations and Interaction Data in Recommender System With Graph Convolution Collaborative Filtering. IEEE Access 11: 139759-139770 (2023) - Andrei D. Dakhnovich, D. S. Zagalsky, R. S. Solovey:
Method for Detecting Manipulation Attacks on Recommender Systems with Collaborative Filtering. Autom. Control. Comput. Sci. 57(8): 868-874 (2023) - R. J. Kuo, Shu-Syun Li:
Applying particle swarm optimization algorithm-based collaborative filtering recommender system considering rating and review. Appl. Soft Comput. 135: 110038 (2023) - Yunting Tao, Fanyu Kong, Yuliang Shi, Jia Yu, Hanlin Zhang, Xiangyi Wang:
Efficient, secure and verifiable outsourcing scheme for SVD-based collaborative filtering recommender system. Future Gener. Comput. Syst. 149: 445-454 (2023) - Ikram Karabila, Nossayba Darraz, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi:
Enhancing Collaborative Filtering-Based Recommender System Using Sentiment Analysis. Future Internet 15(7): 235 (2023) - Ofem Ajah Ofem, Moses Adah Agana, Elemue Oromena Felix:
Collaborative Filtering Recommender System for Timely Arrival Problem in Road Transport Networks Using Viterbi and the Hidden Markov Algorithms. Int. J. Softw. Innov. 11(1): 1-21 (2023) - Fahrettin Horasan, Ahmet Hasim Yurttakal, Selçuk Gündüz:
A novel model based collaborative filtering recommender system via truncated ULV decomposition. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101724 (2023) - Rawaa Alatrash, Rojalina Priyadarshini:
Fine-grained Sentiment-enhanced Collaborative Filtering-based Hybrid Recommender System. J. Web Eng. 22(7): 983-1036 (2023) - Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez:
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks. Knowl. Based Syst. 280: 111016 (2023) - Agyemang Paul, Zhefu Wu, Kai Luo, Yuhang Ma, Luping Fang:
Robust multimedia recommender system based on dynamic collaborative filtering and directed adversarial learning. Int. J. Mach. Learn. Cybern. 14(11): 3851-3865 (2023) - Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto:
Deep variational models for collaborative filtering-based recommender systems. Neural Comput. Appl. 35(10): 7817-7831 (2023) - Atena Torkashvand, Seyed Mahdi Jameii, Akram Reza:
Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review. Neural Comput. Appl. 35(35): 24783-24827 (2023) - Gourav Jain, Tripti Mahara, Subhash C. Sharma:
Effective time context based collaborative filtering recommender system inspired by Gower's coefficient. Int. J. Syst. Assur. Eng. Manag. 14(1): 429-447 (2023) - Yeon-Chang Lee, Sang-Wook Kim:
Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems. SIGWEB Newsl. 2023(Autumn): 4:1-4:13 (2023) - Falguni Roy, Mahamudul Hasan:
An Item-Item Collaborative Filtering Recommender System Based on Item Reviews: An Approach with Deep Learning. Vietnam. J. Comput. Sci. 10(4): 517-536 (2023) - Jesús Bobadilla, Abraham Gutiérrez:
Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research. AICCSA 2023: 1-6 - Narges Mohebbi, Meysam Alavi, Mehrdad Kargari, Seyed Hamidreza Mirbehbahani, Amir Behnam Kharazmy:
A drug recommender system Based on Collaborative Filtering for Covid-19 patients. CSICC 2023: 1-5 - Bakir Karahodza, Dzenana Donko, Haris Supic:
Using temporal user profiles in collaborative filtering recommender system. ICAT 2023: 1-6 - Yoon-Seop Chang, Mikyong Han, Boosun Jeon, Jae-Chul Kim, NohSam Park:
An Neural Collaborative Filtering (NCF) based Recommender System for Personalized Rehabilitation Exercises. ICTC 2023: 1292-1297 - Vjeran Grozdanic, Klemo Vladimir, Goran Delac, Marin Silic:
Detection of Shilling Attacks on Collaborative Filtering Recommender Systems by Combining Multiple Random Forest Models. MIPRO 2023: 959-963 - Imane El Mourabit, Said Jai-Andaloussi, Ouail Ouchetto, Mounia Miyara:
Exploring Collaborative Filtering Algorithms in MOOCs Recommender Systems: A Comprehensive Overview. NISS 2023: 21:1-21:5 - Samira Vaez Barenji, Saeed Farzi:
Managing multi-facet bias in collaborative filtering recommender systems. CoRR abs/2302.10575 (2023) - Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez:
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks. CoRR abs/2303.01297 (2023) - Ali Fallahi RahmatAbadi, Javad Mohammadzadeh:
Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems. CoRR abs/2304.09282 (2023) - Diego Pérez-López, Fernando Ortega, Ángel González-Prieto, Jorge Dueñas-Lerín:
Incorporating Recklessness to Collaborative Filtering based Recommender Systems. CoRR abs/2308.02058 (2023) - Albert Saiapin, Ivan V. Oseledets, Evgeny Frolov:
Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems. CoRR abs/2312.10064 (2023)
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