Статті в журналах з теми "Neural Cross-Domain Collaborative Filtering"
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Yang, Dong, and Jian Sun. "BM3D-Net: A Convolutional Neural Network for Transform-Domain Collaborative Filtering." IEEE Signal Processing Letters 25, no. 1 (January 2018): 55–59. http://dx.doi.org/10.1109/lsp.2017.2768660.
Повний текст джерелаWang, Jiahao, Hongyan Mei, Kai Li, Xing Zhang, and Xin Chen. "Collaborative Filtering Model of Graph Neural Network Based on Random Walk." Applied Sciences 13, no. 3 (January 30, 2023): 1786. http://dx.doi.org/10.3390/app13031786.
Повний текст джерелаAlaa El-deen Ahmed, Rana, Manuel Fernández-Veiga, and Mariam Gawich. "Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems." Sensors 22, no. 2 (January 17, 2022): 700. http://dx.doi.org/10.3390/s22020700.
Повний текст джерелаWójcik, Filip, and Michał Górnik. "Improvement of e-commerce recommendation systems with deep hybrid collaborative filtering with content: A case study." Econometrics 24, no. 3 (2020): 37–50. http://dx.doi.org/10.15611/eada.2020.3.03.
Повний текст джерелаFeng, Ying, and Guisheng Zhao. "Implementation of Short Video Click-Through Rate Estimation Model Based on Cross-Media Collaborative Filtering Neural Network." Computational Intelligence and Neuroscience 2022 (May 31, 2022): 1–13. http://dx.doi.org/10.1155/2022/4951912.
Повний текст джерелаWang, Li, and Cheng Zhong. "Prediction of miRNA-Disease Association Using Deep Collaborative Filtering." BioMed Research International 2021 (February 24, 2021): 1–16. http://dx.doi.org/10.1155/2021/6652948.
Повний текст джерелаSahoo, Abhaya Kumar, Chittaranjan Pradhan, Rabindra Kumar Barik, and Harishchandra Dubey. "DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering." Computation 7, no. 2 (May 22, 2019): 25. http://dx.doi.org/10.3390/computation7020025.
Повний текст джерелаSethuraman, Ram, and Akshay Havalgi. "Novel Approach of Neural Collaborative Filter by Pairwise Objective Function with Matrix Factorization." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 1213. http://dx.doi.org/10.14419/ijet.v7i3.12.17840.
Повний текст джерелаSyed, Muzamil Hussain, Tran Quoc Bao Huy, and Sun-Tae Chung. "Context-Aware Explainable Recommendation Based on Domain Knowledge Graph." Big Data and Cognitive Computing 6, no. 1 (January 20, 2022): 11. http://dx.doi.org/10.3390/bdcc6010011.
Повний текст джерелаLu, Jing. "Personalized Recommendation Algorithm of Smart Tourism Based on Cross-Media Big Data and Neural Network." Computational Intelligence and Neuroscience 2022 (June 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/9566766.
Повний текст джерелаBai, Zijian, Yinfeng Huang, Suzhi Zhang, Pu Li, Yuanyuan Chang, and Xiang Lin. "Multi-Level Knowledge-Aware Contrastive Learning Network for Personalized Recipe Recommendation." Applied Sciences 12, no. 24 (December 14, 2022): 12863. http://dx.doi.org/10.3390/app122412863.
Повний текст джерелаJiang, Jian, and Zhiqun Qiu. "Distributed Soccer Training Smart Sensors for Multitarget Localization and Tracking." Journal of Sensors 2022 (August 5, 2022): 1–13. http://dx.doi.org/10.1155/2022/4772636.
Повний текст джерелаLiu, Taiheng, Xiuqin Deng, Zhaoshui He, and Yonghong Long. "TCD-CF: Triple cross-domain collaborative filtering recommendation." Pattern Recognition Letters 149 (September 2021): 185–92. http://dx.doi.org/10.1016/j.patrec.2021.06.016.
Повний текст джерелаBin Li, Xingquan Zhu, Ruijiang Li, and Chengqi Zhang. "Rating Knowledge Sharing in Cross-Domain Collaborative Filtering." IEEE Transactions on Cybernetics 45, no. 5 (May 2015): 1068–82. http://dx.doi.org/10.1109/tcyb.2014.2343982.
Повний текст джерелаKhanam, Nazima. "CROSS DOMAIN COLLABORATIVE FILTERING RECOMMENDER USING PROBABILISTIC MATRIX FACTORIZATION." International Journal of Advanced Research in Computer Science 8, no. 9 (September 30, 2017): 234–49. http://dx.doi.org/10.26483/ijarcs.v8i9.4897.
Повний текст джерелаXia, Haifeng, and Zhengming Ding. "Cross-Domain Collaborative Normalization via Structural Knowledge." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (June 28, 2022): 2777–85. http://dx.doi.org/10.1609/aaai.v36i3.20181.
Повний текст джерела姜, 树媛. "A Collaborative Filtering Cross-Domain Recommendation Based on Matrix Blocking Technique." Modeling and Simulation 12, no. 03 (2023): 2091–101. http://dx.doi.org/10.12677/mos.2023.123192.
Повний текст джерелаYu, Xu, Jun-yu Lin, Feng Jiang, Jun-wei Du, and 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.
Повний текст джерелаYu, Xu, Qinglong Peng, Lingwei Xu, Feng Jiang, Junwei Du, and Dunwei Gong. "A selective ensemble learning based two-sided cross-domain collaborative filtering algorithm." Information Processing & Management 58, no. 6 (November 2021): 102691. http://dx.doi.org/10.1016/j.ipm.2021.102691.
Повний текст джерелаTaneja, Nikita, and 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, no. 10-SPECIAL ISSUE (October 31, 2019): 1146–53. http://dx.doi.org/10.5373/jardcs/v11sp10/20192958.
Повний текст джерелаLiu, Huiting, Lingling Guo, Peipei Li, Peng Zhao, and Xindong Wu. "Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation." Information Sciences 565 (July 2021): 370–89. http://dx.doi.org/10.1016/j.ins.2021.02.009.
Повний текст джерелаNguyen, Luong Vuong, Nam D. Vo, and Jason J. Jung. "DaGzang: a synthetic data generator for cross-domain recommendation services." PeerJ Computer Science 9 (May 2, 2023): e1360. http://dx.doi.org/10.7717/peerj-cs.1360.
Повний текст джерелаArora, Anuja, Vaibhav Taneja, Sonali Parashar, and Apurva Mishra. "Cross-domain based Event Recommendation using Tensor Factorization." Open Computer Science 6, no. 1 (October 14, 2016): 126–37. http://dx.doi.org/10.1515/comp-2016-0011.
Повний текст джерелаHuang, Ling, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, and 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.
Повний текст джерелаYu, Xu, Feng Jiang, Junwei Du, and 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.
Повний текст джерелаYu, Xu, Yan Chu, Feng Jiang, Ying Guo, and Dunwei Gong. "SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features." Knowledge-Based Systems 141 (February 2018): 80–91. http://dx.doi.org/10.1016/j.knosys.2017.11.010.
Повний текст джерелаFernández-Tobías, Ignacio, Iván Cantador, Paolo Tomeo, Vito Walter Anelli, and 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, no. 2 (January 1, 2019): 443–86. http://dx.doi.org/10.1007/s11257-018-9217-6.
Повний текст джерелаZhang, Luxi, and Yongli Gao. "UI Design and Optimization Method for Museum Display Based on User Behavior Recommendation." Wireless Communications and Mobile Computing 2022 (July 26, 2022): 1–10. http://dx.doi.org/10.1155/2022/2814216.
Повний текст джерелаVo, Nam D., Minsung Hong, and Jason J. Jung. "Implicit Stochastic Gradient Descent Method for Cross-Domain Recommendation System." Sensors 20, no. 9 (April 29, 2020): 2510. http://dx.doi.org/10.3390/s20092510.
Повний текст джерелаXu, Yaoli, Jinjun Zhong, Suzhi Zhang, Chenglin Li, Pu Li, Yanbu Guo, Yuhua Li, Hui Liang, and Yazhou Zhang. "A Domain-Oriented Entity Alignment Approach Based on Filtering Multi-Type Graph Neural Networks." Applied Sciences 13, no. 16 (August 14, 2023): 9237. http://dx.doi.org/10.3390/app13169237.
Повний текст джерелаHwangbo, Hyunwoo, and 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 (December 2017): 254–65. http://dx.doi.org/10.1016/j.eswa.2017.07.041.
Повний текст джерелаYue, Meng, Qingxin Yan, Han Zheng, and Zhijun Wu. "Cross-Plane DDoS Attack Defense Architecture Based on Flow Table Features in SDN." Security and Communication Networks 2022 (September 30, 2022): 1–16. http://dx.doi.org/10.1155/2022/7409083.
Повний текст джерелаYu, Xu, Feng Jiang, Junwei Du, and 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 (October 2019): 96–109. http://dx.doi.org/10.1016/j.patcog.2019.05.030.
Повний текст джерелаGong, Yichen, Shuhan Kang, and Yuxing Song. "Research Advanced in the Recommendation Algorithms." Highlights in Science, Engineering and Technology 49 (May 21, 2023): 457–63. http://dx.doi.org/10.54097/hset.v49i.8585.
Повний текст джерелаRani, Asha, Kavita Taneja, and Harmunish Taneja. "Life Insurance-Based Recommendation System for Effective Information Computing." International Journal of Information Retrieval Research 11, no. 2 (April 2021): 1–14. http://dx.doi.org/10.4018/ijirr.2021040101.
Повний текст джерелаFranzoni, Valentina. "Cross-domain synergy: Leveraging image processing techniques for enhanced sound classification through spectrogram analysis using CNNs." Journal of Autonomous Intelligence 6, no. 3 (August 28, 2023): 678. http://dx.doi.org/10.32629/jai.v6i3.678.
Повний текст джерелаKuang, Hailan, Haoran Chen, Xiaolin Ma, and Xinhua Liu. "A Keyword Detection and Context Filtering Method for Document Level Relation Extraction." Applied Sciences 12, no. 3 (February 2, 2022): 1599. http://dx.doi.org/10.3390/app12031599.
Повний текст джерелаTorontali, 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 (December 1, 2020): iii321—iii322. http://dx.doi.org/10.1093/neuonc/noaa222.201.
Повний текст джерелаNayyar, Anand, Pijush Kanti Dutta Pramankit, and Rajni Mohana. "Introduction to the Special Issue on Evolving IoT and Cyber-Physical Systems: Advancements, Applications, and Solutions." Scalable Computing: Practice and Experience 21, no. 3 (August 1, 2020): 347–48. http://dx.doi.org/10.12694/scpe.v21i3.1568.
Повний текст джерелаWang, Chang-Dong, Yan-Hui Chen, Wu-Dong Xi, Ling Huang, and 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.
Повний текст джерелаYu, Ruiyun, Dezhi Ye, Zhihong Wang, Biyun Zhang, Ann Move Oguti, Jie Li, Bo Jin, and 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.
Повний текст джерела"A Research on Collaborative Filtering Based Movie Recommendations: From Neighborhood to Deep Learning Based System." International Journal of Recent Technology and Engineering 8, no. 4 (November 30, 2019): 10809–14. http://dx.doi.org/10.35940/ijrte.d4362.118419.
Повний текст джерелаXu, YuHao, ZhenHai Wang, ZhiRu Wang, YunLong Guo, Rong Fan, HongYu Tian, and Xing Wang. "SimDCL: dropout-based simple graph contrastive learning for recommendation." Complex & Intelligent Systems, February 10, 2023. http://dx.doi.org/10.1007/s40747-023-00974-z.
Повний текст джерелаZheng, Kai, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Zhao-Hui Zhan, and Hao-Yuan Li. "Line graph attention networks for predicting disease-associated Piwi-interacting RNAs." Briefings in Bioinformatics, October 5, 2022. http://dx.doi.org/10.1093/bib/bbac393.
Повний текст джерелаBoppana, Venugopal, and P. Sandhya. "Web crawling based context aware recommender system using optimized deep recurrent neural network." Journal of Big Data 8, no. 1 (November 20, 2021). http://dx.doi.org/10.1186/s40537-021-00534-7.
Повний текст джерелаAzizifard, Narges, Lodewijk Gelauff, Jean-Olivier Gransard-Desmond, Miriam Redi, and Rossano Schifanella. "Wiki Loves Monuments: crowdsourcing the collective image of the worldwide built heritage." Journal on Computing and Cultural Heritage, November 2, 2022. http://dx.doi.org/10.1145/3569092.
Повний текст джерелаSingh, Kirti, Indu Saini, and Neetu Sood. "ANALYSIS OF CARDIOVASCULAR, CARDIORESPIRATORY, AND VASCULO- RESPIRATORY SIGNALS USING DIFFERENT MACHINE LEARNING TECHNIQUES." Biomedical Engineering: Applications, Basis and Communications, December 10, 2022. http://dx.doi.org/10.4015/s1016237222500454.
Повний текст джерелаCarter, Dave, Marta Stojanovic, and Berry De Bruijn. "Revitalizing the Global Public Health Intelligence Network (GPHIN)." Online Journal of Public Health Informatics 10, no. 1 (May 22, 2018). http://dx.doi.org/10.5210/ojphi.v10i1.8912.
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