Artículos de revistas sobre el tema "Item-similarity Graph"
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Chen, Yunxiao, Xiaoou Li, Jingchen Liu, Gongjun Xu y Zhiliang Ying. "Exploratory Item Classification Via Spectral Graph Clustering". Applied Psychological Measurement 41, n.º 8 (1 de febrero de 2017): 579–99. http://dx.doi.org/10.1177/0146621617692977.
Texto completoFaizliev, Alexey, Vladimir Balash, Vladimir Petrov, Alexey Grigoriev, Dmitriy Melnichuk y 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, n.º 3 (10 de agosto de 2019): 55. http://dx.doi.org/10.3390/joitmc5030055.
Texto completoPurohit, Sumit, George Chin y Lawrence B. Holder. "ITeM: Independent temporal motifs to summarize and compare temporal networks". Intelligent Data Analysis 26, n.º 4 (11 de julio de 2022): 1071–96. http://dx.doi.org/10.3233/ida-205698.
Texto completoKurt, Zuhal, Kemal Ozkan, Alper Bilge y Omer Nezih Gerek. "A Similarity-Inclusive Link Prediction Based Recommender System Approach". Elektronika ir Elektrotechnika 25, n.º 6 (6 de diciembre de 2019): 62–69. http://dx.doi.org/10.5755/j01.eie.25.6.24828.
Texto completoShen, Guojiang, Jiajia Tan, Zhi Liu y Xiangjie Kong. "Enhancing interactive graph representation learning for review-based item recommendation". Computer Science and Information Systems, n.º 00 (2021): 64. http://dx.doi.org/10.2298/csis210228064s.
Texto completoZhu, Zhenyue, Shujing Lyu y Yue Lu. "A few-shot segmentation method for prohibited item inspection". Journal of X-Ray Science and Technology 29, n.º 3 (11 de mayo de 2021): 397–409. http://dx.doi.org/10.3233/xst-210846.
Texto completoLee, Kwangyon, Haemin Jung, June Seok Hong y Wooju Kim. "Learning Knowledge Using Frequent Subgraph Mining from Ontology Graph Data". Applied Sciences 11, n.º 3 (20 de enero de 2021): 932. http://dx.doi.org/10.3390/app11030932.
Texto completoMa, Gang-Feng, Xu-Hua Yang, Yue Tong y Yanbo Zhou. "Graph neural networks for preference social recommendation". PeerJ Computer Science 9 (19 de mayo de 2023): e1393. http://dx.doi.org/10.7717/peerj-cs.1393.
Texto completoZhang, Suqi, Xinxin Wang, Rui Wang, Junhua Gu y Jianxin Li. "Knowledge Graph Recommendation Model Based on Feature Space Fusion". Applied Sciences 12, n.º 17 (31 de agosto de 2022): 8764. http://dx.doi.org/10.3390/app12178764.
Texto completoBelov, Dmitry I. y James A. Wollack. "Graph Theory Approach to Detect Examinees Involved in Test Collusion". Applied Psychological Measurement 45, n.º 4 (12 de mayo de 2021): 253–67. http://dx.doi.org/10.1177/01466216211013902.
Texto completoCai, Hongyun, Jichao Ren, Jing Zhao, Shilin Yuan y Jie Meng. "KC-GCN: A Semi-Supervised Detection Model against Various Group Shilling Attacks in Recommender Systems". Wireless Communications and Mobile Computing 2023 (16 de febrero de 2023): 1–15. http://dx.doi.org/10.1155/2023/2854874.
Texto completoWang, Huansha, Ruiyang Huang y Jianpeng Zhang. "Person Entity Alignment Method Based on Multimodal Information Aggregation". Electronics 11, n.º 19 (1 de octubre de 2022): 3163. http://dx.doi.org/10.3390/electronics11193163.
Texto completoChen, Hong, Ming Xin Gan y Meng Zhao Song. "An Improved Recommendation Algorithm Based on Graph Model". Applied Mechanics and Materials 380-384 (agosto de 2013): 1266–69. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1266.
Texto completoShang, Songtao, Wenqian Shang, Minyong Shi, Shuchao Feng y Zhiguo Hong. "A Video Recommendation Algorithm Based on Hyperlink-Graph Model". International Journal of Software Innovation 5, n.º 3 (julio de 2017): 49–63. http://dx.doi.org/10.4018/ijsi.2017070104.
Texto completoMu, Ruihui y Xiaoqin Zeng. "Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph". Mathematical Problems in Engineering 2018 (31 de julio de 2018): 1–11. http://dx.doi.org/10.1155/2018/9617410.
Texto completoUlitzsch, Esther, Qiwei He, Vincent Ulitzsch, Hendrik Molter, André Nichterlein, Rolf Niedermeier y Steffi Pohl. "Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes". Psychometrika 86, n.º 1 (5 de febrero de 2021): 190–214. http://dx.doi.org/10.1007/s11336-020-09743-0.
Texto completoBin, Zhang y Wang Xiao Dong. "Friends Recommendation Algorithm Based on Graph Mining and Collaborative Filtering". Applied Mechanics and Materials 235 (noviembre de 2012): 399–402. http://dx.doi.org/10.4028/www.scientific.net/amm.235.399.
Texto completoLiu, Xi, Rui Song, Yuhang Wang y Hao Xu. "A Multi-Granular Aggregation-Enhanced Knowledge Graph Representation for Recommendation". Information 13, n.º 5 (29 de abril de 2022): 229. http://dx.doi.org/10.3390/info13050229.
Texto completoMa, Manfu, Dongliang Yang y Yong Li. "Session Recommendation Based on Edge Information Clustering". Journal of Physics: Conference Series 2363, n.º 1 (1 de noviembre de 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2363/1/012003.
Texto completoLiu, Yudong y Wen Chen. "Recommendation Model Based on Semantic Features and a Knowledge Graph". Wireless Communications and Mobile Computing 2021 (20 de julio de 2021): 1–9. http://dx.doi.org/10.1155/2021/2382892.
Texto completoZhu, Lingxiao. "E-Commerce Recommendation Algorithm based on Graph Neural Network". Highlights in Science, Engineering and Technology 39 (1 de abril de 2023): 1264–68. http://dx.doi.org/10.54097/hset.v39i.6752.
Texto completoGong, Xiaolong, Linpeng Huang y Fuwei Wang. "Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 102–9. http://dx.doi.org/10.1609/aaai.v33i01.3301102.
Texto completoXu, Gongwen, Guangyu Jia, Lin Shi y Zhijun Zhang. "Personalized Course Recommendation System Fusing with Knowledge Graph and Collaborative Filtering". Computational Intelligence and Neuroscience 2021 (25 de septiembre de 2021): 1–8. http://dx.doi.org/10.1155/2021/9590502.
Texto completoChen, Ya, Hongliang Yuan, Tingting Liu y Nan Ding. "Name Disambiguation Based on Graph Convolutional Network". Scientific Programming 2021 (8 de mayo de 2021): 1–11. http://dx.doi.org/10.1155/2021/5577692.
Texto completoGuo, Lei, Hongzhi Yin, Tong Chen, Xiangliang Zhang y Kai Zheng. "Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation". ACM Transactions on Information Systems 40, n.º 1 (31 de enero de 2022): 1–27. http://dx.doi.org/10.1145/3457949.
Texto completoLiu, Zhen, Huanyu Meng, Shuang Ren y 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.
Texto completoPavithra, C. y M. Saradha. "Integrating Collaborative Filtering Technique Using Rating Approach to Ascertain Similarity Between the Users". Scalable Computing: Practice and Experience 23, n.º 4 (22 de diciembre de 2022): 171–79. http://dx.doi.org/10.12694/scpe.v23i4.2015.
Texto completoWang, Dan. "Analysis of Sentiment and Personalised Recommendation in Musical Performance". Computational Intelligence and Neuroscience 2022 (2 de junio de 2022): 1–6. http://dx.doi.org/10.1155/2022/2778181.
Texto completoLi, Bin y Ting Zhang. "An Algorithm of Scene Information Collection in General Football Matches Based on Web Documents". Security and Communication Networks 2021 (14 de octubre de 2021): 1–11. http://dx.doi.org/10.1155/2021/5801631.
Texto completoZhou, Jieqiong, Zhenhua Wei, Bin Peng y 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 de octubre de 2021): 1–10. http://dx.doi.org/10.1155/2021/4066267.
Texto completoCai, Hongyun, Jie Meng, Jichao Ren y Shilin Yuan. "Toward Sequential Recommendation Model for Long-Term Interest Memory and Nearest Neighbor Influence". Wireless Communications and Mobile Computing 2022 (27 de septiembre de 2022): 1–15. http://dx.doi.org/10.1155/2022/4612169.
Texto completoZhang, Qiaosheng, Vincent Y. F. Tan y 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.
Texto completoHan, Lifeng, Li Chen y Xiaolong Shi. "Recommendation Model Based on Probabilistic Matrix Factorization and Rated Item Relevance". Electronics 11, n.º 24 (13 de diciembre de 2022): 4160. http://dx.doi.org/10.3390/electronics11244160.
Texto completoGrishin, John y 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, n.º 1 (septiembre de 2016): 1088–92. http://dx.doi.org/10.1177/1541931213601251.
Texto completoJing, Mengyuan, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang y Jiadi Yu. "Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks". ACM Transactions on Knowledge Discovery from Data, 10 de octubre de 2022. http://dx.doi.org/10.1145/3565575.
Texto completoKhan, Nasrullah, Zongmin Ma, Aman Ullah y Kemal Polat. "Similarity Attributed Knowledge Graph Embedding Enhancement for Item Recommendation". Information Sciences, septiembre de 2022. http://dx.doi.org/10.1016/j.ins.2022.08.124.
Texto completoÖZCAN, Alper. "Applying Graph Convolution Networks to Recommender Systems based on graph topology". DÜMF Mühendislik Dergisi, 28 de junio de 2022. http://dx.doi.org/10.24012/dumf.1081137.
Texto completoLei, Fei, Zhongqi Cao, Yuning Yang, Yibo Ding y Cong Zhang. "Learning the User’s Deeper Preferences for Multi-modal Recommendation Systems". ACM Transactions on Multimedia Computing, Communications, and Applications, 7 de diciembre de 2022. http://dx.doi.org/10.1145/3573010.
Texto completoKhan, Bilal, Jia Wu, Jian Yang y Xiaoxiao Ma. "Heterogeneous Hypergraph Neural Network for Social Recommendation using Attention Network". ACM Transactions on Recommender Systems, 7 de agosto de 2023. http://dx.doi.org/10.1145/3613964.
Texto completoXu, Haifeng, Rasha F. Kashef, Hans De Sterck y Geoffrey Sanders. "Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships". INFORMS Journal on Computing, 31 de enero de 2022. http://dx.doi.org/10.1287/ijoc.2021.1137.
Texto completoZhang, Yiwen, Li Zhang, Yunchun Dong, Jun Chu, Xing Wang y Zuobin Ying. "A movie recommendation method based on knowledge graph and time series". Journal of Intelligent & Fuzzy Systems, 3 de julio de 2023, 1–10. http://dx.doi.org/10.3233/jifs-230795.
Texto completoDi Sipio, Claudio, Juri Di Rocco, Davide Di Ruscio y Phuong T. Nguyen. "MORGAN: a modeling recommender system based on graph kernel". Software and Systems Modeling, 4 de abril de 2023. http://dx.doi.org/10.1007/s10270-023-01102-8.
Texto completoMurty, Chakka S. V. V. S. N., G. P. Saradhi Varma y Ch Satyanarayana. "Content-Based Collaborative Filtering with Hierarchical Agglomerative Clustering Using User/Item based Ratings". Journal of Interconnection Networks, 4 de febrero de 2022. http://dx.doi.org/10.1142/s0219265921410267.
Texto completoMorita, Ayako, Yoshimitsu Takahashi, Kunihiko Takahashi y Takeo Fujiwara. "Depressive symptoms homophily among community-dwelling older adults in japan: A social networks analysis". Frontiers in Public Health 10 (20 de septiembre de 2022). http://dx.doi.org/10.3389/fpubh.2022.965026.
Texto completoZhang, Qiaosheng, Geewon Suh, Changho Suh y 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.
Texto completoSzádoczki, Zsombor, Sándor Bozóki, Patrik Juhász, Sergii V. Kadenko y Vitaliy Tsyganok. "Incomplete pairwise comparison matrices based on graphs with average degree approximately 3". Annals of Operations Research, 21 de junio de 2022. http://dx.doi.org/10.1007/s10479-022-04819-9.
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