Artículos de revistas sobre el tema "Neural Cross-Domain Collaborative Filtering"
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Yang, Dong y Jian Sun. "BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering". IEEE Signal Processing Letters 25, n.º 1 (enero de 2018): 55–59. http://dx.doi.org/10.1109/lsp.2017.2768660.
Texto completoWang, Jiahao, Hongyan Mei, Kai Li, Xing Zhang y Xin Chen. "Collaborative Filtering Model of Graph Neural Network Based on Random Walk". Applied Sciences 13, n.º 3 (30 de enero de 2023): 1786. http://dx.doi.org/10.3390/app13031786.
Texto completoAlaa El-deen Ahmed, Rana, Manuel Fernández-Veiga y Mariam Gawich. "Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems". Sensors 22, n.º 2 (17 de enero de 2022): 700. http://dx.doi.org/10.3390/s22020700.
Texto completoWójcik, Filip y Michał Górnik. "Improvement of e-commerce recommendation systems with deep hybrid collaborative filtering with content: A case study". Econometrics 24, n.º 3 (2020): 37–50. http://dx.doi.org/10.15611/eada.2020.3.03.
Texto completoFeng, Ying y Guisheng Zhao. "Implementation of Short Video Click-Through Rate Estimation Model Based on Cross-Media Collaborative Filtering Neural Network". Computational Intelligence and Neuroscience 2022 (31 de mayo de 2022): 1–13. http://dx.doi.org/10.1155/2022/4951912.
Texto completoWang, Li y Cheng Zhong. "Prediction of miRNA-Disease Association Using Deep Collaborative Filtering". BioMed Research International 2021 (24 de febrero de 2021): 1–16. http://dx.doi.org/10.1155/2021/6652948.
Texto completoSahoo, Abhaya Kumar, Chittaranjan Pradhan, Rabindra Kumar Barik y Harishchandra Dubey. "DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering". Computation 7, n.º 2 (22 de mayo de 2019): 25. http://dx.doi.org/10.3390/computation7020025.
Texto completoSethuraman, Ram y Akshay Havalgi. "Novel Approach of Neural Collaborative Filter by Pairwise Objective Function with Matrix Factorization". International Journal of Engineering & Technology 7, n.º 3.12 (20 de julio de 2018): 1213. http://dx.doi.org/10.14419/ijet.v7i3.12.17840.
Texto completoSyed, Muzamil Hussain, Tran Quoc Bao Huy y Sun-Tae Chung. "Context-Aware Explainable Recommendation Based on Domain Knowledge Graph". Big Data and Cognitive Computing 6, n.º 1 (20 de enero de 2022): 11. http://dx.doi.org/10.3390/bdcc6010011.
Texto completoLu, Jing. "Personalized Recommendation Algorithm of Smart Tourism Based on Cross-Media Big Data and Neural Network". Computational Intelligence and Neuroscience 2022 (26 de junio de 2022): 1–11. http://dx.doi.org/10.1155/2022/9566766.
Texto completoBai, Zijian, Yinfeng Huang, Suzhi Zhang, Pu Li, Yuanyuan Chang y Xiang Lin. "Multi-Level Knowledge-Aware Contrastive Learning Network for Personalized Recipe Recommendation". Applied Sciences 12, n.º 24 (14 de diciembre de 2022): 12863. http://dx.doi.org/10.3390/app122412863.
Texto completoJiang, Jian y Zhiqun Qiu. "Distributed Soccer Training Smart Sensors for Multitarget Localization and Tracking". Journal of Sensors 2022 (5 de agosto de 2022): 1–13. http://dx.doi.org/10.1155/2022/4772636.
Texto completoLiu, Taiheng, Xiuqin Deng, Zhaoshui He y Yonghong Long. "TCD-CF: Triple cross-domain collaborative filtering recommendation". Pattern Recognition Letters 149 (septiembre de 2021): 185–92. http://dx.doi.org/10.1016/j.patrec.2021.06.016.
Texto completoBin Li, Xingquan Zhu, Ruijiang Li y Chengqi Zhang. "Rating Knowledge Sharing in Cross-Domain Collaborative Filtering". IEEE Transactions on Cybernetics 45, n.º 5 (mayo de 2015): 1068–82. http://dx.doi.org/10.1109/tcyb.2014.2343982.
Texto completoKhanam, Nazima. "CROSS DOMAIN COLLABORATIVE FILTERING RECOMMENDER USING PROBABILISTIC MATRIX FACTORIZATION". International Journal of Advanced Research in Computer Science 8, n.º 9 (30 de septiembre de 2017): 234–49. http://dx.doi.org/10.26483/ijarcs.v8i9.4897.
Texto completoXia, Haifeng y Zhengming Ding. "Cross-Domain Collaborative Normalization via Structural Knowledge". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 3 (28 de junio de 2022): 2777–85. http://dx.doi.org/10.1609/aaai.v36i3.20181.
Texto completo姜, 树媛. "A Collaborative Filtering Cross-Domain Recommendation Based on Matrix Blocking Technique". Modeling and Simulation 12, n.º 03 (2023): 2091–101. http://dx.doi.org/10.12677/mos.2023.123192.
Texto completoYu, Xu, Jun-yu Lin, Feng Jiang, Jun-wei Du y Ji-zhong Han. "A Cross-Domain Collaborative Filtering Algorithm Based on Feature Construction and Locally Weighted Linear Regression". Computational Intelligence and Neuroscience 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/1425365.
Texto completoYu, Xu, Qinglong Peng, Lingwei Xu, Feng Jiang, Junwei Du y Dunwei Gong. "A selective ensemble learning based two-sided cross-domain collaborative filtering algorithm". Information Processing & Management 58, n.º 6 (noviembre de 2021): 102691. http://dx.doi.org/10.1016/j.ipm.2021.102691.
Texto completoTaneja, Nikita y Dr Hardeo K Thakur. "Evaluation of Collaborative Filtering and Knowledge Transfer Based Cross Domain Recommendation Models". Journal of Advanced Research in Dynamical and Control Systems 11, n.º 10-SPECIAL ISSUE (31 de octubre de 2019): 1146–53. http://dx.doi.org/10.5373/jardcs/v11sp10/20192958.
Texto completoLiu, Huiting, Lingling Guo, Peipei Li, Peng Zhao y Xindong Wu. "Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation". Information Sciences 565 (julio de 2021): 370–89. http://dx.doi.org/10.1016/j.ins.2021.02.009.
Texto completoNguyen, Luong Vuong, Nam D. Vo y Jason J. Jung. "DaGzang: a synthetic data generator for cross-domain recommendation services". PeerJ Computer Science 9 (2 de mayo de 2023): e1360. http://dx.doi.org/10.7717/peerj-cs.1360.
Texto completoArora, Anuja, Vaibhav Taneja, Sonali Parashar y Apurva Mishra. "Cross-domain based Event Recommendation using Tensor Factorization". Open Computer Science 6, n.º 1 (14 de octubre de 2016): 126–37. http://dx.doi.org/10.1515/comp-2016-0011.
Texto completoHuang, Ling, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai y Philip S. Yu. "A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering". IEEE Access 7 (2019): 19550–63. http://dx.doi.org/10.1109/access.2019.2897979.
Texto completoYu, Xu, Feng Jiang, Junwei Du y Dunwei Gong. "A User-Based Cross Domain Collaborative Filtering Algorithm Based on a Linear Decomposition Model". IEEE Access 5 (2017): 27582–89. http://dx.doi.org/10.1109/access.2017.2774442.
Texto completoYu, Xu, Yan Chu, Feng Jiang, Ying Guo y Dunwei Gong. "SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features". Knowledge-Based Systems 141 (febrero de 2018): 80–91. http://dx.doi.org/10.1016/j.knosys.2017.11.010.
Texto completoFernández-Tobías, Ignacio, Iván Cantador, Paolo Tomeo, Vito Walter Anelli y Tommaso Di Noia. "Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization". User Modeling and User-Adapted Interaction 29, n.º 2 (1 de enero de 2019): 443–86. http://dx.doi.org/10.1007/s11257-018-9217-6.
Texto completoZhang, Luxi y Yongli Gao. "UI Design and Optimization Method for Museum Display Based on User Behavior Recommendation". Wireless Communications and Mobile Computing 2022 (26 de julio de 2022): 1–10. http://dx.doi.org/10.1155/2022/2814216.
Texto completoVo, Nam D., Minsung Hong y Jason J. Jung. "Implicit Stochastic Gradient Descent Method for Cross-Domain Recommendation System". Sensors 20, n.º 9 (29 de abril de 2020): 2510. http://dx.doi.org/10.3390/s20092510.
Texto completoXu, Yaoli, Jinjun Zhong, Suzhi Zhang, Chenglin Li, Pu Li, Yanbu Guo, Yuhua Li, Hui Liang y Yazhou Zhang. "A Domain-Oriented Entity Alignment Approach Based on Filtering Multi-Type Graph Neural Networks". Applied Sciences 13, n.º 16 (14 de agosto de 2023): 9237. http://dx.doi.org/10.3390/app13169237.
Texto completoHwangbo, Hyunwoo y Yangsok Kim. "An empirical study on the effect of data sparsity and data overlap on cross domain collaborative filtering performance". Expert Systems with Applications 89 (diciembre de 2017): 254–65. http://dx.doi.org/10.1016/j.eswa.2017.07.041.
Texto completoYue, Meng, Qingxin Yan, Han Zheng y Zhijun Wu. "Cross-Plane DDoS Attack Defense Architecture Based on Flow Table Features in SDN". Security and Communication Networks 2022 (30 de septiembre de 2022): 1–16. http://dx.doi.org/10.1155/2022/7409083.
Texto completoYu, Xu, Feng Jiang, Junwei Du y Dunwei Gong. "A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains". Pattern Recognition 94 (octubre de 2019): 96–109. http://dx.doi.org/10.1016/j.patcog.2019.05.030.
Texto completoGong, Yichen, Shuhan Kang y Yuxing Song. "Research Advanced in the Recommendation Algorithms". Highlights in Science, Engineering and Technology 49 (21 de mayo de 2023): 457–63. http://dx.doi.org/10.54097/hset.v49i.8585.
Texto completoRani, Asha, Kavita Taneja y Harmunish Taneja. "Life Insurance-Based Recommendation System for Effective Information Computing". International Journal of Information Retrieval Research 11, n.º 2 (abril de 2021): 1–14. http://dx.doi.org/10.4018/ijirr.2021040101.
Texto completoFranzoni, Valentina. "Cross-domain synergy: Leveraging image processing techniques for enhanced sound classification through spectrogram analysis using CNNs". Journal of Autonomous Intelligence 6, n.º 3 (28 de agosto de 2023): 678. http://dx.doi.org/10.32629/jai.v6i3.678.
Texto completoKuang, Hailan, Haoran Chen, Xiaolin Ma y Xinhua Liu. "A Keyword Detection and Context Filtering Method for Document Level Relation Extraction". Applied Sciences 12, n.º 3 (2 de febrero de 2022): 1599. http://dx.doi.org/10.3390/app12031599.
Texto completoTorontali, Marianne, Renee Doughman, Brooklyn Chaney, Katie Black, Anthony Asher, Andrew Rupert, Christine Fuller et al. "EPID-15. THE INTERNATIONAL DIFFUSE INTRINSIC PONTINE GLIOMA (DIPG)/DIFFUSE MIDLINE GLIOMA (DMG) REGISTRY AND REPOSITORY (IDIPGR) EXPANSION". Neuro-Oncology 22, Supplement_3 (1 de diciembre de 2020): iii321—iii322. http://dx.doi.org/10.1093/neuonc/noaa222.201.
Texto completoNayyar, Anand, Pijush Kanti Dutta Pramankit y Rajni Mohana. "Introduction to the Special Issue on Evolving IoT and Cyber-Physical Systems: Advancements, Applications, and Solutions". Scalable Computing: Practice and Experience 21, n.º 3 (1 de agosto de 2020): 347–48. http://dx.doi.org/10.12694/scpe.v21i3.1568.
Texto completoWang, Chang-Dong, Yan-Hui Chen, Wu-Dong Xi, Ling Huang y Guangqiang Xie. "Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network". IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 1–15. http://dx.doi.org/10.1109/tsmc.2021.3129261.
Texto completoYu, Ruiyun, Dezhi Ye, Zhihong Wang, Biyun Zhang, Ann Move Oguti, Jie Li, Bo Jin y Fadi Kurdahi. "CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering". IEEE Transactions on Knowledge and Data Engineering, 2021, 1. http://dx.doi.org/10.1109/tkde.2020.3048788.
Texto completo"A Research on Collaborative Filtering Based Movie Recommendations: From Neighborhood to Deep Learning Based System". International Journal of Recent Technology and Engineering 8, n.º 4 (30 de noviembre de 2019): 10809–14. http://dx.doi.org/10.35940/ijrte.d4362.118419.
Texto completoXu, YuHao, ZhenHai Wang, ZhiRu Wang, YunLong Guo, Rong Fan, HongYu Tian y Xing Wang. "SimDCL: dropout-based simple graph contrastive learning for recommendation". Complex & Intelligent Systems, 10 de febrero de 2023. http://dx.doi.org/10.1007/s40747-023-00974-z.
Texto completoZheng, Kai, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Zhao-Hui Zhan y Hao-Yuan Li. "Line graph attention networks for predicting disease-associated Piwi-interacting RNAs". Briefings in Bioinformatics, 5 de octubre de 2022. http://dx.doi.org/10.1093/bib/bbac393.
Texto completoBoppana, Venugopal y P. Sandhya. "Web crawling based context aware recommender system using optimized deep recurrent neural network". Journal of Big Data 8, n.º 1 (20 de noviembre de 2021). http://dx.doi.org/10.1186/s40537-021-00534-7.
Texto completoAzizifard, Narges, Lodewijk Gelauff, Jean-Olivier Gransard-Desmond, Miriam Redi y Rossano Schifanella. "Wiki Loves Monuments: crowdsourcing the collective image of the worldwide built heritage". Journal on Computing and Cultural Heritage, 2 de noviembre de 2022. http://dx.doi.org/10.1145/3569092.
Texto completoSingh, Kirti, Indu Saini y Neetu Sood. "ANALYSIS OF CARDIOVASCULAR, CARDIORESPIRATORY, AND VASCULO- RESPIRATORY SIGNALS USING DIFFERENT MACHINE LEARNING TECHNIQUES". Biomedical Engineering: Applications, Basis and Communications, 10 de diciembre de 2022. http://dx.doi.org/10.4015/s1016237222500454.
Texto completoCarter, Dave, Marta Stojanovic y Berry De Bruijn. "Revitalizing the Global Public Health Intelligence Network (GPHIN)". Online Journal of Public Health Informatics 10, n.º 1 (22 de mayo de 2018). http://dx.doi.org/10.5210/ojphi.v10i1.8912.
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