Artykuły w czasopismach na temat „Item-similarity Graph”
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Sprawdź 46 najlepszych artykułów w czasopismach naukowych na temat „Item-similarity Graph”.
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Chen, Yunxiao, Xiaoou Li, Jingchen Liu, Gongjun Xu i Zhiliang Ying. "Exploratory Item Classification Via Spectral Graph Clustering". Applied Psychological Measurement 41, nr 8 (1.02.2017): 579–99. http://dx.doi.org/10.1177/0146621617692977.
Pełny tekst źródłaFaizliev, Alexey, Vladimir Balash, Vladimir Petrov, Alexey Grigoriev, Dmitriy Melnichuk i Sergei Sidorov. "Stability Analysis of Company Co-Mention Network and Market Graph Over Time Using Graph Similarity Measures". Journal of Open Innovation: Technology, Market, and Complexity 5, nr 3 (10.08.2019): 55. http://dx.doi.org/10.3390/joitmc5030055.
Pełny tekst źródłaPurohit, Sumit, George Chin i Lawrence B. Holder. "ITeM: Independent temporal motifs to summarize and compare temporal networks". Intelligent Data Analysis 26, nr 4 (11.07.2022): 1071–96. http://dx.doi.org/10.3233/ida-205698.
Pełny tekst źródłaKurt, Zuhal, Kemal Ozkan, Alper Bilge i Omer Nezih Gerek. "A Similarity-Inclusive Link Prediction Based Recommender System Approach". Elektronika ir Elektrotechnika 25, nr 6 (6.12.2019): 62–69. http://dx.doi.org/10.5755/j01.eie.25.6.24828.
Pełny tekst źródłaShen, Guojiang, Jiajia Tan, Zhi Liu i Xiangjie Kong. "Enhancing interactive graph representation learning for review-based item recommendation". Computer Science and Information Systems, nr 00 (2021): 64. http://dx.doi.org/10.2298/csis210228064s.
Pełny tekst źródłaZhu, Zhenyue, Shujing Lyu i Yue Lu. "A few-shot segmentation method for prohibited item inspection". Journal of X-Ray Science and Technology 29, nr 3 (11.05.2021): 397–409. http://dx.doi.org/10.3233/xst-210846.
Pełny tekst źródłaLee, Kwangyon, Haemin Jung, June Seok Hong i Wooju Kim. "Learning Knowledge Using Frequent Subgraph Mining from Ontology Graph Data". Applied Sciences 11, nr 3 (20.01.2021): 932. http://dx.doi.org/10.3390/app11030932.
Pełny tekst źródłaMa, Gang-Feng, Xu-Hua Yang, Yue Tong i Yanbo Zhou. "Graph neural networks for preference social recommendation". PeerJ Computer Science 9 (19.05.2023): e1393. http://dx.doi.org/10.7717/peerj-cs.1393.
Pełny tekst źródłaZhang, Suqi, Xinxin Wang, Rui Wang, Junhua Gu i Jianxin Li. "Knowledge Graph Recommendation Model Based on Feature Space Fusion". Applied Sciences 12, nr 17 (31.08.2022): 8764. http://dx.doi.org/10.3390/app12178764.
Pełny tekst źródłaBelov, Dmitry I., i James A. Wollack. "Graph Theory Approach to Detect Examinees Involved in Test Collusion". Applied Psychological Measurement 45, nr 4 (12.05.2021): 253–67. http://dx.doi.org/10.1177/01466216211013902.
Pełny tekst źródłaCai, Hongyun, Jichao Ren, Jing Zhao, Shilin Yuan i Jie Meng. "KC-GCN: A Semi-Supervised Detection Model against Various Group Shilling Attacks in Recommender Systems". Wireless Communications and Mobile Computing 2023 (16.02.2023): 1–15. http://dx.doi.org/10.1155/2023/2854874.
Pełny tekst źródłaWang, Huansha, Ruiyang Huang i Jianpeng Zhang. "Person Entity Alignment Method Based on Multimodal Information Aggregation". Electronics 11, nr 19 (1.10.2022): 3163. http://dx.doi.org/10.3390/electronics11193163.
Pełny tekst źródłaChen, Hong, Ming Xin Gan i Meng Zhao Song. "An Improved Recommendation Algorithm Based on Graph Model". Applied Mechanics and Materials 380-384 (sierpień 2013): 1266–69. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1266.
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 źródłaMu, Ruihui, i Xiaoqin Zeng. "Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph". Mathematical Problems in Engineering 2018 (31.07.2018): 1–11. http://dx.doi.org/10.1155/2018/9617410.
Pełny tekst źródłaUlitzsch, Esther, Qiwei He, Vincent Ulitzsch, Hendrik Molter, André Nichterlein, Rolf Niedermeier i Steffi Pohl. "Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes". Psychometrika 86, nr 1 (5.02.2021): 190–214. http://dx.doi.org/10.1007/s11336-020-09743-0.
Pełny tekst źródłaBin, Zhang, i Wang Xiao Dong. "Friends Recommendation Algorithm Based on Graph Mining and Collaborative Filtering". Applied Mechanics and Materials 235 (listopad 2012): 399–402. http://dx.doi.org/10.4028/www.scientific.net/amm.235.399.
Pełny tekst źródłaLiu, Xi, Rui Song, Yuhang Wang i Hao Xu. "A Multi-Granular Aggregation-Enhanced Knowledge Graph Representation for Recommendation". Information 13, nr 5 (29.04.2022): 229. http://dx.doi.org/10.3390/info13050229.
Pełny tekst źródłaMa, Manfu, Dongliang Yang i Yong Li. "Session Recommendation Based on Edge Information Clustering". Journal of Physics: Conference Series 2363, nr 1 (1.11.2022): 012003. http://dx.doi.org/10.1088/1742-6596/2363/1/012003.
Pełny tekst źródłaLiu, Yudong, i Wen Chen. "Recommendation Model Based on Semantic Features and a Knowledge Graph". Wireless Communications and Mobile Computing 2021 (20.07.2021): 1–9. http://dx.doi.org/10.1155/2021/2382892.
Pełny tekst źródłaZhu, Lingxiao. "E-Commerce Recommendation Algorithm based on Graph Neural Network". Highlights in Science, Engineering and Technology 39 (1.04.2023): 1264–68. http://dx.doi.org/10.54097/hset.v39i.6752.
Pełny tekst źródłaGong, Xiaolong, Linpeng Huang i Fuwei Wang. "Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 102–9. http://dx.doi.org/10.1609/aaai.v33i01.3301102.
Pełny tekst źródłaXu, Gongwen, Guangyu Jia, Lin Shi i Zhijun Zhang. "Personalized Course Recommendation System Fusing with Knowledge Graph and Collaborative Filtering". Computational Intelligence and Neuroscience 2021 (25.09.2021): 1–8. http://dx.doi.org/10.1155/2021/9590502.
Pełny tekst źródłaChen, Ya, Hongliang Yuan, Tingting Liu i Nan Ding. "Name Disambiguation Based on Graph Convolutional Network". Scientific Programming 2021 (8.05.2021): 1–11. http://dx.doi.org/10.1155/2021/5577692.
Pełny tekst źródłaGuo, Lei, Hongzhi Yin, Tong Chen, Xiangliang Zhang i Kai Zheng. "Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation". ACM Transactions on Information Systems 40, nr 1 (31.01.2022): 1–27. http://dx.doi.org/10.1145/3457949.
Pełny tekst źródłaLiu, Zhen, Huanyu Meng, Shuang Ren i Feng Liu. "Reliable Collaborative Filtering on Spatio-Temporal Privacy Data". Security and Communication Networks 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9127612.
Pełny tekst źródłaPavithra, C., i M. Saradha. "Integrating Collaborative Filtering Technique Using Rating Approach to Ascertain Similarity Between the Users". Scalable Computing: Practice and Experience 23, nr 4 (22.12.2022): 171–79. http://dx.doi.org/10.12694/scpe.v23i4.2015.
Pełny tekst źródłaWang, Dan. "Analysis of Sentiment and Personalised Recommendation in Musical Performance". Computational Intelligence and Neuroscience 2022 (2.06.2022): 1–6. http://dx.doi.org/10.1155/2022/2778181.
Pełny tekst źródłaLi, Bin, i Ting Zhang. "An Algorithm of Scene Information Collection in General Football Matches Based on Web Documents". Security and Communication Networks 2021 (14.10.2021): 1–11. http://dx.doi.org/10.1155/2021/5801631.
Pełny tekst źródłaZhou, Jieqiong, Zhenhua Wei, Bin Peng i Fangchun Chi. "Research and Application of Film and Television Literature Recommendation Based on Secure Internet of Things and Machine Learning". Mobile Information Systems 2021 (15.10.2021): 1–10. http://dx.doi.org/10.1155/2021/4066267.
Pełny tekst źródłaCai, Hongyun, Jie Meng, Jichao Ren i Shilin Yuan. "Toward Sequential Recommendation Model for Long-Term Interest Memory and Nearest Neighbor Influence". Wireless Communications and Mobile Computing 2022 (27.09.2022): 1–15. http://dx.doi.org/10.1155/2022/4612169.
Pełny tekst źródłaZhang, Qiaosheng, Vincent Y. F. Tan i Changho Suh. "Community Detection and Matrix Completion With Social and Item Similarity Graphs". IEEE Transactions on Signal Processing 69 (2021): 917–31. http://dx.doi.org/10.1109/tsp.2021.3052033.
Pełny tekst źródłaHan, Lifeng, Li Chen i Xiaolong Shi. "Recommendation Model Based on Probabilistic Matrix Factorization and Rated Item Relevance". Electronics 11, nr 24 (13.12.2022): 4160. http://dx.doi.org/10.3390/electronics11244160.
Pełny tekst źródłaGrishin, John, i Douglas J. Gillan. "Structure Matters: Effects of Semantic Relatedness and Proximity on Consumer Search and Integration Tasks". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, nr 1 (wrzesień 2016): 1088–92. http://dx.doi.org/10.1177/1541931213601251.
Pełny tekst źródłaJing, Mengyuan, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang i Jiadi Yu. "Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks". ACM Transactions on Knowledge Discovery from Data, 10.10.2022. http://dx.doi.org/10.1145/3565575.
Pełny tekst źródłaKhan, Nasrullah, Zongmin Ma, Aman Ullah i Kemal Polat. "Similarity Attributed Knowledge Graph Embedding Enhancement for Item Recommendation". Information Sciences, wrzesień 2022. http://dx.doi.org/10.1016/j.ins.2022.08.124.
Pełny tekst źródłaÖZCAN, Alper. "Applying Graph Convolution Networks to Recommender Systems based on graph topology". DÜMF Mühendislik Dergisi, 28.06.2022. http://dx.doi.org/10.24012/dumf.1081137.
Pełny tekst źródłaLei, Fei, Zhongqi Cao, Yuning Yang, Yibo Ding i Cong Zhang. "Learning the User’s Deeper Preferences for Multi-modal Recommendation Systems". ACM Transactions on Multimedia Computing, Communications, and Applications, 7.12.2022. http://dx.doi.org/10.1145/3573010.
Pełny tekst źródłaKhan, Bilal, Jia Wu, Jian Yang i Xiaoxiao Ma. "Heterogeneous Hypergraph Neural Network for Social Recommendation using Attention Network". ACM Transactions on Recommender Systems, 7.08.2023. http://dx.doi.org/10.1145/3613964.
Pełny tekst źródłaXu, Haifeng, Rasha F. Kashef, Hans De Sterck i Geoffrey Sanders. "Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships". INFORMS Journal on Computing, 31.01.2022. http://dx.doi.org/10.1287/ijoc.2021.1137.
Pełny tekst źródłaZhang, Yiwen, Li Zhang, Yunchun Dong, Jun Chu, Xing Wang i Zuobin Ying. "A movie recommendation method based on knowledge graph and time series". Journal of Intelligent & Fuzzy Systems, 3.07.2023, 1–10. http://dx.doi.org/10.3233/jifs-230795.
Pełny tekst źródłaDi Sipio, Claudio, Juri Di Rocco, Davide Di Ruscio i Phuong T. Nguyen. "MORGAN: a modeling recommender system based on graph kernel". Software and Systems Modeling, 4.04.2023. http://dx.doi.org/10.1007/s10270-023-01102-8.
Pełny tekst źródłaMurty, Chakka S. V. V. S. N., G. P. Saradhi Varma i Ch Satyanarayana. "Content-Based Collaborative Filtering with Hierarchical Agglomerative Clustering Using User/Item based Ratings". Journal of Interconnection Networks, 4.02.2022. http://dx.doi.org/10.1142/s0219265921410267.
Pełny tekst źródłaMorita, Ayako, Yoshimitsu Takahashi, Kunihiko Takahashi i Takeo Fujiwara. "Depressive symptoms homophily among community-dwelling older adults in japan: A social networks analysis". Frontiers in Public Health 10 (20.09.2022). http://dx.doi.org/10.3389/fpubh.2022.965026.
Pełny tekst źródłaZhang, Qiaosheng, Geewon Suh, Changho Suh i Vincent Y. F. Tan. "MC2G: An Efficient Algorithm for Matrix Completion with Social and Item Similarity Graphs". IEEE Transactions on Signal Processing, 2022, 1. http://dx.doi.org/10.1109/tsp.2022.3174423.
Pełny tekst źródłaSzádoczki, Zsombor, Sándor Bozóki, Patrik Juhász, Sergii V. Kadenko i Vitaliy Tsyganok. "Incomplete pairwise comparison matrices based on graphs with average degree approximately 3". Annals of Operations Research, 21.06.2022. http://dx.doi.org/10.1007/s10479-022-04819-9.
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