Статті в журналах з теми "Next POI Recommendation"
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Zhang, Zhiqian, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, and Xiangyang Luo. "NEXT: a neural network framework for next POI recommendation." Frontiers of Computer Science 14, no. 2 (August 30, 2019): 314–33. http://dx.doi.org/10.1007/s11704-018-8011-2.
Повний текст джерелаZhao, Pengpeng, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, and Xiaofang Zhou. "Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5877–84. http://dx.doi.org/10.1609/aaai.v33i01.33015877.
Повний текст джерелаHuang, Jianfeng, Yuefeng Liu, Yue Chen, and Chen Jia. "Dynamic Recommendation of POI Sequence Responding to Historical Trajectory." ISPRS International Journal of Geo-Information 8, no. 10 (September 30, 2019): 433. http://dx.doi.org/10.3390/ijgi8100433.
Повний текст джерелаLi, Xin, Dongcheng Han, Jing He, Lejian Liao, and Mingzhong Wang. "Next and Next New POI Recommendation via Latent Behavior Pattern Inference." ACM Transactions on Information Systems 37, no. 4 (December 10, 2019): 1–28. http://dx.doi.org/10.1145/3354187.
Повний текст джерелаLi, Zheng, Xueyuan Huang, Chun Liu, and Wei Yang. "Spatio-Temporal Unequal Interval Correlation-Aware Self-Attention Network for Next POI Recommendation." ISPRS International Journal of Geo-Information 11, no. 11 (October 29, 2022): 543. http://dx.doi.org/10.3390/ijgi11110543.
Повний текст джерелаLiu, Xuebo, Jingjing Guo, and Peng Qiao. "A Context Awareness Hierarchical Attention Network for Next POI Recommendation in IoT Environment." Electronics 11, no. 23 (November 30, 2022): 3977. http://dx.doi.org/10.3390/electronics11233977.
Повний текст джерелаZang, Hongyu, Dongcheng Han, Xin Li, Zhifeng Wan, and Mingzhong Wang. "CHA: Categorical Hierarchy-based Attention for Next POI Recommendation." ACM Transactions on Information Systems 40, no. 1 (January 31, 2022): 1–22. http://dx.doi.org/10.1145/3464300.
Повний текст джерелаLi, Quan, Xinhua Xu, Xinghong Liu, and Qi Chen. "An Attention-Based Spatiotemporal GGNN for Next POI Recommendation." IEEE Access 10 (2022): 26471–80. http://dx.doi.org/10.1109/access.2022.3156618.
Повний текст джерелаCui, Yue, Hao Sun, Yan Zhao, Hongzhi Yin, and Kai Zheng. "Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach." ACM Transactions on Information Systems 40, no. 2 (April 30, 2022): 1–22. http://dx.doi.org/10.1145/3460198.
Повний текст джерелаGan, Mingxin, and Ling Gao. "Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks." ISPRS International Journal of Geo-Information 8, no. 6 (June 14, 2019): 279. http://dx.doi.org/10.3390/ijgi8060279.
Повний текст джерелаLi, Ruijing, Jianzhong Guo, Chun Liu, Zheng Li, and Shaoqing Zhang. "Using Attributes Explicitly Reflecting User Preference in a Self-Attention Network for Next POI Recommendation." ISPRS International Journal of Geo-Information 11, no. 8 (August 4, 2022): 440. http://dx.doi.org/10.3390/ijgi11080440.
Повний текст джерелаLim, Kwan Hui, Jeffrey Chan, Christopher Leckie, and Shanika Karunasekera. "Towards Next Generation Touring: Personalized Group Tours." Proceedings of the International Conference on Automated Planning and Scheduling 26 (March 30, 2016): 412–20. http://dx.doi.org/10.1609/icaps.v26i1.13775.
Повний текст джерелаThaipisutikul, Tipajin, and Yi-Cheng Chen. "Pattern-based dual learning for point-of-interest (POI) recommendation." Industrial Management & Data Systems 120, no. 10 (September 8, 2020): 1901–21. http://dx.doi.org/10.1108/imds-04-2020-0207.
Повний текст джерелаWang, Xican, Yanheng Liu, Xu Zhou, Xueying Wang, and Zhaoqi Leng. "A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence." ISPRS International Journal of Geo-Information 11, no. 2 (January 20, 2022): 80. http://dx.doi.org/10.3390/ijgi11020080.
Повний текст джерелаDai, Shaojie, Yanwei Yu, Hao Fan, and Junyu Dong. "Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation." Data Science and Engineering 7, no. 1 (January 31, 2022): 44–56. http://dx.doi.org/10.1007/s41019-022-00180-w.
Повний текст джерелаLi, Miao, Wenguang Zheng, Yingyuan Xiao, Ke Zhu, and Wei Huang. "Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs." IEEE Access 9 (2021): 35997–6007. http://dx.doi.org/10.1109/access.2021.3061502.
Повний текст джерелаShi, Meihui, Derong Shen, Yue Kou, Tiezheng Nie, and Ge Yu. "Next point-of-interest recommendation by sequential feature mining and public preference awareness." Journal of Intelligent & Fuzzy Systems 40, no. 3 (March 2, 2021): 4075–90. http://dx.doi.org/10.3233/jifs-200465.
Повний текст джерелаSafavi, Sadaf, and Mehrdad Jalali. "RecPOID: POI Recommendation with Friendship Aware and Deep CNN." Future Internet 13, no. 3 (March 22, 2021): 79. http://dx.doi.org/10.3390/fi13030079.
Повний текст джерелаWang, Xueying, Yanheng Liu, Xu Zhou, Zhaoqi Leng, and Xican Wang. "Long- and Short-Term Preference Modeling Based on Multi-Level Attention for Next POI Recommendation." ISPRS International Journal of Geo-Information 11, no. 6 (May 26, 2022): 323. http://dx.doi.org/10.3390/ijgi11060323.
Повний текст джерелаLiu, Yuwen, Aixiang Pei, Fan Wang, Yihong Yang, Xuyun Zhang, Hao Wang, Hongning Dai, Lianyong Qi, and Rui Ma. "An attention‐based category‐aware GRU model for the next POI recommendation." International Journal of Intelligent Systems 36, no. 7 (March 25, 2021): 3174–89. http://dx.doi.org/10.1002/int.22412.
Повний текст джерелаWang, Dongjing, Xingliang Wang, Zhengzhe Xiang, Dongjin Yu, Shuiguang Deng, and Guandong Xu. "Attentive sequential model based on graph neural network for next poi recommendation." World Wide Web 24, no. 6 (October 20, 2021): 2161–84. http://dx.doi.org/10.1007/s11280-021-00961-9.
Повний текст джерелаZhang, Lu, Zhu Sun, Jie Zhang, Horst Kloeden, and Felix Klanner. "Modeling hierarchical category transition for next POI recommendation with uncertain check-ins." Information Sciences 515 (April 2020): 169–90. http://dx.doi.org/10.1016/j.ins.2019.12.006.
Повний текст джерелаChen, Ming, Wen-Zhong Li, Lin Qian, Sang-Lu Lu, and Dao-Xu Chen. "Next POI Recommendation Based on Location Interest Mining with Recurrent Neural Networks." Journal of Computer Science and Technology 35, no. 3 (May 2020): 603–16. http://dx.doi.org/10.1007/s11390-020-9107-3.
Повний текст джерелаSun, Ke, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, and Hongzhi Yin. "Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 214–21. http://dx.doi.org/10.1609/aaai.v34i01.5353.
Повний текст джерелаCheng, Chen, Haiqin Yang, Irwin King, and Michael Lyu. "Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 17–23. http://dx.doi.org/10.1609/aaai.v26i1.8100.
Повний текст джерелаYang, Kang, and Jinghua Zhu. "Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network." IEEE Access 7 (2019): 171105–13. http://dx.doi.org/10.1109/access.2019.2956138.
Повний текст джерелаWan, Lin, Han Wang, Yuming Hong, Ran Li, Wei Chen, and Zhou Huang. "iTourSPOT: a context-aware framework for next POI recommendation in location-based social networks." International Journal of Digital Earth 15, no. 1 (September 23, 2022): 1614–36. http://dx.doi.org/10.1080/17538947.2022.2122611.
Повний текст джерелаZhou, Fan, Pengyu Wang, Xovee Xu, Wenxin Tai, and Goce Trajcevski. "Contrastive Trajectory Learning for Tour Recommendation." ACM Transactions on Intelligent Systems and Technology 13, no. 1 (February 28, 2022): 1–25. http://dx.doi.org/10.1145/3462331.
Повний текст джерелаWu, Shiwen, Yuanxing Zhang, Chengliang Gao, Kaigui Bian, and Bin Cui. "GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network." Data Science and Engineering 5, no. 4 (July 29, 2020): 433–47. http://dx.doi.org/10.1007/s41019-020-00135-z.
Повний текст джерелаLi, Chunshan, Dongmei Li, Zhongya Zhang, and Dianhui Chu. "MST-RNN: A Multi-Dimension Spatiotemporal Recurrent Neural Networks for Recommending the Next Point of Interest." Mathematics 10, no. 11 (May 27, 2022): 1838. http://dx.doi.org/10.3390/math10111838.
Повний текст джерелаLoeffler, Shane. "Trajectory-based POI recommendations for mobile maps." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-227-2019.
Повний текст джерелаWakeel, Jamal Al, Ahmed H. Mitwalli, Abdulkareem Alsuwaida, Mohammad Al Ghonaim, Saira Usama, Ashik Hayat, and Iqbal Hamid Shah. "Recommendations for Fasting in Ramadan for Patients on Peritoneal Dialysis." Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 33, no. 1 (January 2013): 86–91. http://dx.doi.org/10.3747/pdi.2010.00095.
Повний текст джерелаRothfusz, Lans P., Russell Schneider, David Novak, Kimberly Klockow-McClain, Alan E. Gerard, Chris Karstens, Gregory J. Stumpf, and Travis M. Smith. "FACETs: A Proposed Next-Generation Paradigm for High-Impact Weather Forecasting." Bulletin of the American Meteorological Society 99, no. 10 (October 2018): 2025–43. http://dx.doi.org/10.1175/bams-d-16-0100.1.
Повний текст джерелаGoswami, Karan, Javad Parvizi, and P. Maxwell Courtney. "Current Recommendations for the Diagnosis of Acute and Chronic PJI for Hip and Knee—Cell Counts, Alpha-Defensin, Leukocyte Esterase, Next-generation Sequencing." Current Reviews in Musculoskeletal Medicine 11, no. 3 (July 31, 2018): 428–38. http://dx.doi.org/10.1007/s12178-018-9513-0.
Повний текст джерелаFayed, Hany, Khaled Elgendy, and Ismail R. Barrada. "Clinical Outcome of Intravascular Ultrasound Guided Percutaneous Coronary Intervention of Isolated Ostial Left Anterior Descending Artery Lesions." European Journal of Health Sciences 8, no. 1 (January 14, 2023): 1–10. http://dx.doi.org/10.47672/ejhs.1326.
Повний текст джерелаYoon, Sung-Soo, Dong-Yeop Shin, Je-Hwan Lee, Jun Ho Jang, June-Won Cheong, Ho-Jin Shin, Jeong-Ok Lee, et al. "A Phase 1a/1b First in Human Study of PHI-101, a Potent Small Molecule Inhibitor of FLT3 in Relapsed and Refractory Acute Myeloid Leukemia." Blood 138, Supplement 1 (November 5, 2021): 3425. http://dx.doi.org/10.1182/blood-2021-149395.
Повний текст джерелаBurlacu, Alexandru, Grigore Tinica, Bogdan Artene, Paul Simion, Diana Savuc, and Adrian Covic. "Peculiarities and Consequences of Different Angiographic Patterns of STEMI Patients Receiving Coronary Angiography Only: Data from a Large Primary PCI Registry." Emergency Medicine International 2020 (July 20, 2020): 1–7. http://dx.doi.org/10.1155/2020/9839281.
Повний текст джерелаKoul, Sasha, and David Erlinge. "Antiplatelet Therapy in Acute Coronary Syndromes." European Cardiology Review 6, no. 1 (2010): 58. http://dx.doi.org/10.15420/ecr.2010.6.1.58.
Повний текст джерелаPiel-Julian, Marie-Léa, Marie-Françoise Thiercelin-Legrand, Guillaume Moulis, Sophie Voisin, Ségolène Claeyssens, and Laurent Sailler. "Antithrombotic Therapy Management in Patients with Inherited Bleeding Disorders and Ischaemic Heart Disease: A Single-Center Experience." Blood 132, Supplement 1 (November 29, 2018): 1213. http://dx.doi.org/10.1182/blood-2018-99-117101.
Повний текст джерелаAmad, Fatimah Shafinaz, Mohd Zulkifli Mohd Yunus, Ahmad Khairi Abd Wahab, Nuremira Ibrahim, and Izni Izati Mohamad. "Mapping the Mangrove Vulnerability Index Using Geographical Information System." International Journal of Innovative Computing 11, no. 1 (April 28, 2021): 69–81. http://dx.doi.org/10.11113/ijic.v11n1.309.
Повний текст джерелаHens, Luc, Nguyen An Thinh, Tran Hong Hanh, Ngo Sy Cuong, Tran Dinh Lan, Nguyen Van Thanh, and Dang Thanh Le. "Sea-level rise and resilience in Vietnam and the Asia-Pacific: A synthesis." VIETNAM JOURNAL OF EARTH SCIENCES 40, no. 2 (January 19, 2018): 127–53. http://dx.doi.org/10.15625/0866-7187/40/2/11107.
Повний текст джерелаLong, Jing, Tong Chen, Nguyen Quoc Viet Hung, and Hongzhi Yin. "Decentralized Collaborative Learning Framework for Next POI Recommendation." ACM Transactions on Information Systems, August 8, 2022. http://dx.doi.org/10.1145/3555374.
Повний текст джерелаHalder, Sajal, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. "POI recommendation with queuing time and user interest awareness." Data Mining and Knowledge Discovery, October 3, 2022. http://dx.doi.org/10.1007/s10618-022-00865-w.
Повний текст джерелаWang, Zhaobo, Yanmin Zhu, Qiaomei Zhang, Haobin Liu, Chunyang Wang, and Tong Liu. "Graph-enhanced Spatial-temporal Network for Next POI Recommendation." ACM Transactions on Knowledge Discovery from Data, February 24, 2022. http://dx.doi.org/10.1145/3513092.
Повний текст джерелаChen, Lei, Jie Cao, Haicheng Tao, and Jia Wu. "Trip Reinforcement Recommendation with Graph-based Representation Learning." ACM Transactions on Knowledge Discovery from Data, September 27, 2022. http://dx.doi.org/10.1145/3564609.
Повний текст джерелаHuang, Liwei, Yutao Ma, Shibo Wang, and Yanbo Liu. "An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation." IEEE Transactions on Services Computing, 2019, 1. http://dx.doi.org/10.1109/tsc.2019.2918310.
Повний текст джерелаZhao, Pengpeng, Anjing Luo, Yanchi Liu, Fuzhen Zhuang, Jiajie Xu, Zhixu Li, Victor S. Sheng, and Xiaofang Zhou. "Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation." IEEE Transactions on Knowledge and Data Engineering, 2020, 1. http://dx.doi.org/10.1109/tkde.2020.3007194.
Повний текст джерелаCheng, Xinghe, Ning Li, Gulsim Rysbayrva, Qing Yang, and Jingwei Zhang. "Influence-Aware Successive Point-of-Interest Recommendation." World Wide Web, April 29, 2022. http://dx.doi.org/10.1007/s11280-022-01055-w.
Повний текст джерелаChen, Wei, Huaiyu Wan, Shengnan Guo, Haoyu Huang, Shaojie Zheng, Jiamu Li, Shuohao Lin, and Youfang Lin. "Building and exploiting spatial-temporal knowledge graph for next POI recommendation." Knowledge-Based Systems, September 2022, 109951. http://dx.doi.org/10.1016/j.knosys.2022.109951.
Повний текст джерелаWu, Yuxia, Ke Li, Guoshuai Zhao, and Xueming QIAN. "Personalized Long- and Short-term Preference Learning for Next POI Recommendation." IEEE Transactions on Knowledge and Data Engineering, 2020, 1. http://dx.doi.org/10.1109/tkde.2020.3002531.
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