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