Artykuły w czasopismach na temat „Recommendation graph”
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Jiang, Liwei, Guanghui Yan, Hao Luo i Wenwen Chang. "Improved Collaborative Recommendation Model: Integrating Knowledge Embedding and Graph Contrastive Learning". Electronics 12, nr 20 (13.10.2023): 4238. http://dx.doi.org/10.3390/electronics12204238.
Pełny tekst źródłaChen, Fukun, Guisheng Yin, Yuxin Dong, Gesu Li i Weiqi Zhang. "KHGCN: Knowledge-Enhanced Recommendation with Hierarchical Graph Capsule Network". Entropy 25, nr 4 (20.04.2023): 697. http://dx.doi.org/10.3390/e25040697.
Pełny tekst źródłaTolety, Venkata Bhanu Prasad, i Evani Venkateswara Prasad. "Graph Neural Networks for E-Learning Recommendation Systems". International Journal on Recent and Innovation Trends in Computing and Communication 11, nr 9s (31.08.2023): 43–50. http://dx.doi.org/10.17762/ijritcc.v11i9s.7395.
Pełny tekst źródłaWang, Yan, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu i in. "LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 17 (24.03.2024): 19189–96. http://dx.doi.org/10.1609/aaai.v38i17.29887.
Pełny tekst źródłaLiu, Jiawei, Haihan Gao, Chuan Shi, Hongtao Cheng i Qianlong Xie. "Self-Supervised Spatio-Temporal Graph Learning for Point-of-Interest Recommendation". Applied Sciences 13, nr 15 (1.08.2023): 8885. http://dx.doi.org/10.3390/app13158885.
Pełny tekst źródłaLi, Ran, Yuexin Li, Jingsheng Lei i Shengying Yang. "A Multi-Behavior Recommendation Method for Users Based on Graph Neural Networks". Applied Sciences 13, nr 16 (16.08.2023): 9315. http://dx.doi.org/10.3390/app13169315.
Pełny tekst źródłaWu, Ziteng, Chengyun Song, Yunqing Chen i Lingxuan Li. "A review of recommendation system research based on bipartite graph". MATEC Web of Conferences 336 (2021): 05010. http://dx.doi.org/10.1051/matecconf/202133605010.
Pełny tekst źródłaYu, Wenhui, Zixin Zhang i Zheng Qin. "Low-Pass Graph Convolutional Network for Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 8 (28.06.2022): 8954–61. http://dx.doi.org/10.1609/aaai.v36i8.20878.
Pełny tekst źródłaZhang, Shengzhe, Liyi Chen, Chao Wang, Shuangli Li i Hui Xiong. "Temporal Graph Contrastive Learning for Sequential Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 8 (24.03.2024): 9359–67. http://dx.doi.org/10.1609/aaai.v38i8.28789.
Pełny tekst źródłaZeng, Yiping, i Shumin Liu. "Research on recommendation algorithm of Graph attention Network based on Knowledge graph". Journal of Physics: Conference Series 2113, nr 1 (1.11.2021): 012085. http://dx.doi.org/10.1088/1742-6596/2113/1/012085.
Pełny tekst źródłaZhang, Tingting, i Shengnan Liu. "Hybrid Music Recommendation Algorithm Based on Music Gene and Improved Knowledge Graph". Security and Communication Networks 2022 (9.04.2022): 1–11. http://dx.doi.org/10.1155/2022/5889724.
Pełny tekst źródłaKłopotek, Robert. "Modeling Bimodal Social Networks Subject to the Recommendation with the Cold Start User-Item Model". Computers 9, nr 1 (12.02.2020): 11. http://dx.doi.org/10.3390/computers9010011.
Pełny tekst źródłaShen, Lijuan, i Liping Jiang. "Eliminating bias: enhancing children’s book recommendation using a hybrid model of graph convolutional networks and neural matrix factorization". PeerJ Computer Science 10 (29.02.2024): e1858. http://dx.doi.org/10.7717/peerj-cs.1858.
Pełny tekst źródłaNie, Na. "Research on Personalized Recommendation Algorithm of Internet Platform Goods Based on Knowledge Graph". Highlights in Science, Engineering and Technology 56 (14.07.2023): 415–22. http://dx.doi.org/10.54097/hset.v56i.10704.
Pełny tekst źródłaLi, Pu, Tianci Li, Xin Wang, Suzhi Zhang, Yuncheng Jiang i Yong Tang. "Scholar Recommendation Based on High-Order Propagation of Knowledge Graphs". International Journal on Semantic Web and Information Systems 18, nr 1 (styczeń 2022): 1–19. http://dx.doi.org/10.4018/ijswis.297146.
Pełny tekst źródłaCrișan, Gheorghe-Cătălin. "Suggest Recommendation for Library Users Using Graphs". International Journal of Advanced Statistics and IT&C for Economics and Life Sciences 9, nr 1 (1.06.2019): 41–51. http://dx.doi.org/10.2478/ijasitels-2019-0005.
Pełny tekst źródłaNi, Wenkai, Yanhui Du, Xingbang Ma i Haibin Lv. "Research on Hybrid Recommendation Model for Personalized Recommendation Scenarios". Applied Sciences 13, nr 13 (5.07.2023): 7903. http://dx.doi.org/10.3390/app13137903.
Pełny tekst źródłaPeng, Jiquan, Jibing Gong, Chao Zhou, Qian Zang, Xiaohan Fang, Kailun Yang i Jing Yu. "KGCFRec: Improving Collaborative Filtering Recommendation with Knowledge Graph". Electronics 13, nr 10 (15.05.2024): 1927. http://dx.doi.org/10.3390/electronics13101927.
Pełny tekst źródłaPan, Zhiqiang, Wanyu Chen i Honghui Chen. "Dynamic Graph Learning for Session-Based Recommendation". Mathematics 9, nr 12 (19.06.2021): 1420. http://dx.doi.org/10.3390/math9121420.
Pełny tekst źródłaMa, Xintao, Liyan Dong, Yuequn Wang, Yongli Li i Minghui Sun. "AIRC: Attentive Implicit Relation Recommendation Incorporating Content Information for Bipartite Graphs". Mathematics 8, nr 12 (30.11.2020): 2132. http://dx.doi.org/10.3390/math8122132.
Pełny tekst źródłaTallapally, Dharahas, John Wang, Katerina Potika i Magdalini Eirinaki. "Using Graph Neural Networks for Social Recommendations". Algorithms 16, nr 11 (10.11.2023): 515. http://dx.doi.org/10.3390/a16110515.
Pełny tekst źródłaYang, Xu, Ziyi Huan, Yisong Zhai i Ting Lin. "Research of Personalized Recommendation Technology Based on Knowledge Graphs". Applied Sciences 11, nr 15 (31.07.2021): 7104. http://dx.doi.org/10.3390/app11157104.
Pełny tekst źródłaGao, Wei, i Jian Wu. "Multigraph Convolutional Network Enhanced Neural Factorization Machine for Service Recommendation". Mathematical Problems in Engineering 2022 (1.04.2022): 1–19. http://dx.doi.org/10.1155/2022/3747033.
Pełny tekst źródłaXu, Zhuoming, Hanlin Liu, Jian Li, Qianqian Zhang i Yan Tang. "CKGAT: Collaborative Knowledge-Aware Graph Attention Network for Top-N Recommendation". Applied Sciences 12, nr 3 (5.02.2022): 1669. http://dx.doi.org/10.3390/app12031669.
Pełny tekst źródłaZhang, Chengyuan, Yang Wang, Lei Zhu, Jiayu Song i Hongzhi Yin. "Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation". ACM Transactions on Information Systems 40, nr 2 (30.04.2022): 1–26. http://dx.doi.org/10.1145/3466641.
Pełny tekst źródłaLing, Chun-Yang, Yan-Zhen Zou, Ze-Qi Lin i Bing Xie. "Graph Embedding Based API Graph Search and Recommendation". Journal of Computer Science and Technology 34, nr 5 (wrzesień 2019): 993–1006. http://dx.doi.org/10.1007/s11390-019-1956-2.
Pełny tekst źródłaLi, Shanshan, Xinzhuan Hu, Jingfeng Guo, Bin Liu, Mingyue Qi i Yutong Jia. "Popularity-Debiased Graph Self-Supervised for Recommendation". Electronics 13, nr 4 (6.02.2024): 677. http://dx.doi.org/10.3390/electronics13040677.
Pełny tekst źródłaPan, Zhiqiang, Fei Cai, Wanyu Chen i Honghui Chen. "Graph Co-Attentive Session-based Recommendation". ACM Transactions on Information Systems 40, nr 4 (31.10.2022): 1–31. http://dx.doi.org/10.1145/3486711.
Pełny tekst źródłaZhang, Suqi, Ningjing Zhang, Shuai Fan, Junhua Gu i Jianxin Li. "Knowledge Graph Recommendation Model Based on Adversarial Training". Applied Sciences 12, nr 15 (24.07.2022): 7434. http://dx.doi.org/10.3390/app12157434.
Pełny tekst źródłaFan, Lihang, Wenfei Fan, Ping Lu, Chao Tian i Qiang Yin. "Enriching Recommendation Models with Logic Conditions". Proceedings of the ACM on Management of Data 1, nr 3 (13.11.2023): 1–28. http://dx.doi.org/10.1145/3617330.
Pełny tekst źródłaMa, Ruixin, Fangqing Guo, Liang Zhao, Biao Mei, Xiya Bu, Hao Wu i Enxin Song. "Knowledge Graph Extrapolation Network with Transductive Learning for Recommendation". Applied Sciences 12, nr 10 (12.05.2022): 4899. http://dx.doi.org/10.3390/app12104899.
Pełny tekst źródłaMa, Chuang, Xin Ren, Guangxia Xu i Bo He. "FedGR: Federated Graph Neural Network for Recommendation Systems". Axioms 12, nr 2 (7.02.2023): 170. http://dx.doi.org/10.3390/axioms12020170.
Pełny tekst źródłaLiu, Jingtong, Huawei Yi, Yixuan Gao i Rong Jing. "Personalized Point-of-Interest Recommendation Using Improved Graph Convolutional Network in Location-Based Social Network". Electronics 12, nr 16 (18.08.2023): 3495. http://dx.doi.org/10.3390/electronics12163495.
Pełny tekst źródłaZhu, Wenhao, Yujun Xie, Qun Huang, Zehua Zheng, Xiaozhao Fang, Yonghui Huang i Weijun Sun. "Graph Transformer Collaborative Filtering Method for Multi-Behavior Recommendations". Mathematics 10, nr 16 (16.08.2022): 2956. http://dx.doi.org/10.3390/math10162956.
Pełny tekst źródłaXie, Lijie, Zhaoming Hu, Xingjuan Cai, Wensheng Zhang i Jinjun Chen. "Explainable recommendation based on knowledge graph and multi-objective optimization". Complex & Intelligent Systems 7, nr 3 (6.03.2021): 1241–52. http://dx.doi.org/10.1007/s40747-021-00315-y.
Pełny tekst źródłaShang, Songtao, Wenqian Shang, Minyong Shi, Shuchao Feng i Zhiguo Hong. "A Video Recommendation Algorithm Based on Hyperlink-Graph Model". International Journal of Software Innovation 5, nr 3 (lipiec 2017): 49–63. http://dx.doi.org/10.4018/ijsi.2017070104.
Pełny tekst źródłaChicaiza, Janneth, i Priscila Valdiviezo-Diaz. "A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions". Information 12, nr 6 (28.05.2021): 232. http://dx.doi.org/10.3390/info12060232.
Pełny tekst źródłaPan, Long, Jiwei Qin i Liejun Wang. "Graph-based recommendation by trust". International Journal of Internet Protocol Technology 14, nr 1 (2021): 33. http://dx.doi.org/10.1504/ijipt.2021.10036585.
Pełny tekst źródłaWang, Liejun, Long Pan i Jiwei Qin. "Graph-based recommendation by trust". International Journal of Internet Protocol Technology 14, nr 1 (2021): 33. http://dx.doi.org/10.1504/ijipt.2021.113906.
Pełny tekst źródłaChen, Chong, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu i Shaoping Ma. "Graph Heterogeneous Multi-Relational Recommendation". Proceedings of the AAAI Conference on Artificial Intelligence 35, nr 5 (18.05.2021): 3958–66. http://dx.doi.org/10.1609/aaai.v35i5.16515.
Pełny tekst źródłaWang, Xiaole, Jiwei Qin, Shangju Deng i Wei Zeng. "Knowledge-Aware Enhanced Network Combining Neighborhood Information for Recommendations". Applied Sciences 13, nr 7 (4.04.2023): 4577. http://dx.doi.org/10.3390/app13074577.
Pełny tekst źródłaZhang, Gengyue, Hao Li, Shuangling Li, Beibei Wang i Zhixing Ding. "MMKG-PAR: Multi-Modal Knowledge Graphs-Based Personalized Attraction Recommendation". Sustainability 16, nr 5 (6.03.2024): 2211. http://dx.doi.org/10.3390/su16052211.
Pełny tekst źródłaLi, Qi. "A Study on the Construction of Translation Curriculum System for English Majors from the Perspective of Human-Computer Interaction". Advances in Multimedia 2022 (26.08.2022): 1–10. http://dx.doi.org/10.1155/2022/5902199.
Pełny tekst źródłaKrasanakis, Emmanouil, i Andreas Symeonidis. "Fast Library Recommendation in Software Dependency Graphs with Symmetric Partially Absorbing Random Walks". Future Internet 14, nr 5 (20.04.2022): 124. http://dx.doi.org/10.3390/fi14050124.
Pełny tekst źródłaMa, Xintao, Liyan Dong, Yuequn Wang, Yongli Li i Hao Zhang. "MNI: An enhanced multi-task neighborhood interaction model for recommendation on knowledge graph". PLOS ONE 16, nr 10 (28.10.2021): e0258410. http://dx.doi.org/10.1371/journal.pone.0258410.
Pełny tekst źródłaKhalid Khoshnaw, Karwan Hoshyar, Zardasht Abdulaziz Abdulkarim Shwany, Twana Mustafa i Shayda Khudhur Ismail. "Mobile recommender system based on smart city graph". Indonesian Journal of Electrical Engineering and Computer Science 25, nr 3 (1.03.2022): 1771. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1771-1776.
Pełny tekst źródłaHuang, Xiaoli, Junjie Wang i Junying Cui. "A Personalized Collaborative Filtering Recommendation System Based on Bi-Graph Embedding and Causal Reasoning". Entropy 26, nr 5 (28.04.2024): 371. http://dx.doi.org/10.3390/e26050371.
Pełny tekst źródłaZhang, Ye, Yanqi Gao, Yupeng Zhou, Jianan Wang i Minghao Yin. "MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 21 (24.03.2024): 23709–11. http://dx.doi.org/10.1609/aaai.v38i21.30536.
Pełny tekst źródłaWu, Jiang, Shaojie Jiang i Lei Shi. "A Next POI Recommendation Based on Graph Convolutional Network by Adaptive Time Patterns". Electronics 12, nr 5 (4.03.2023): 1241. http://dx.doi.org/10.3390/electronics12051241.
Pełny tekst źródłaWang, Daocheng, Chao Chen, Chong Di i Minglei Shu. "Exploring Behavior Patterns for Next-POI Recommendation via Graph Self-Supervised Learning". Electronics 12, nr 8 (20.04.2023): 1939. http://dx.doi.org/10.3390/electronics12081939.
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