Добірка наукової літератури з теми "Next POI Recommendation"
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Статті в журналах з теми "Next POI Recommendation"
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 джерелаЧастини книг з теми "Next POI Recommendation"
Massimo, David, and Francesco Ricci. "Next-POI Recommendations Matching User’s Visit Behaviour." In Information and Communication Technologies in Tourism 2021, 45–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_4.
Повний текст джерелаMassimo, David, and Francesco Ricci. "Clustering Users’ POIs Visit Trajectories for Next-POI Recommendation." In Information and Communication Technologies in Tourism 2019, 3–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05940-8_1.
Повний текст джерелаXie, Min, Hongzhi Yin, Fanjiang Xu, Hao Wang, and Xiaofang Zhou. "Graph-Based Metric Embedding for Next POI Recommendation." In Web Information Systems Engineering – WISE 2016, 207–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48743-4_17.
Повний текст джерелаLong, Yan, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Jiajie Xu, Jian Wu, and Zhiming Cui. "Social Personalized Ranking Embedding for Next POI Recommendation." In Lecture Notes in Computer Science, 91–105. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68783-4_7.
Повний текст джерелаNi, Jiacheng, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Zhixu Li, Xuefeng Xian, Zhiming Cui, and Victor S. Sheng. "Spatio-Temporal Self-Attention Network for Next POI Recommendation." In Web and Big Data, 409–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60259-8_30.
Повний текст джерелаChen, Ming, Wenzhong Li, Lin Qian, Sanglu Lu, and Daoxu Chen. "Interest-Aware Next POI Recommendation for Mobile Social Networks." In Wireless Algorithms, Systems, and Applications, 27–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94268-1_3.
Повний текст джерелаLi, Yepeng, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, and Victor S. Sheng. "MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation." In Web Information Systems Engineering – WISE 2021, 193–208. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91560-5_14.
Повний текст джерелаLi, Changheng, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, and Victor S. Sheng. "Tell Me Where to Go Next: Improving POI Recommendation via Conversation." In Database Systems for Advanced Applications, 211–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73200-4_14.
Повний текст джерелаHalder, Sajal, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. "Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation." In Advances in Knowledge Discovery and Data Mining, 510–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75765-6_41.
Повний текст джерелаWang, Yu, An Liu, Junhua Fang, Jianfeng Qu, and Lei Zhao. "ADQ-GNN: Next POI Recommendation by Fusing GNN and Area Division with Quadtree." In Web Information Systems Engineering – WISE 2021, 177–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91560-5_13.
Повний текст джерелаТези доповідей конференцій з теми "Next POI Recommendation"
Oppokhonov, Shokirkhon, Seyoung Park, and Isaac K. E. Ampomah. "Current location-based next POI recommendation." In WI '17: International Conference on Web Intelligence 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3106426.3106528.
Повний текст джерелаChen, Yudong, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, and Wenwu Zhu. "Curriculum Meta-Learning for Next POI Recommendation." In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447548.3467132.
Повний текст джерелаZhao, Kangzhi, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, and Chunxiao Xing. "Discovering Subsequence Patterns for Next POI Recommendation." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/445.
Повний текст джерелаHuang, Zheng, Jing Ma, Yushun Dong, Natasha Zhang Foutz, and Jundong Li. "Empowering Next POI Recommendation with Multi-Relational Modeling." In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3477495.3531801.
Повний текст джерелаKim, Junbeom, Sihyun Jeong, Goeon Park, Kihoon Cha, Ilhyun Suh, and Byungkook Oh. "DynaPosGNN: Dynamic-Positional GNN for Next POI Recommendation." In 2021 International Conference on Data Mining Workshops (ICDMW). IEEE, 2021. http://dx.doi.org/10.1109/icdmw53433.2021.00012.
Повний текст джерелаWang, Zhaobo, Yanmin Zhu, Haobing Liu, and Chunyang Wang. "Learning Graph-based Disentangled Representations for Next POI Recommendation." In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3477495.3532012.
Повний текст джерелаLi, Yang, Tong Chen, Yadan Luo, Hongzhi Yin, and Zi Huang. "Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/206.
Повний текст джерелаMassimo, David, and Francesco Ricci. "Harnessing a generalised user behaviour model for next-POI recommendation." In RecSys '18: Twelfth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3240323.3240392.
Повний текст джерелаWu, Yuxia, Ke Li, Guoshuai Zhao, and Xueming Qian. "Long- and Short-term Preference Learning for Next POI Recommendation." In CIKM '19: The 28th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357384.3358171.
Повний текст джерелаTan, Haining, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, and Jingping Bi. "Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation." In 2021 22nd IEEE International Conference on Mobile Data Management (MDM). IEEE, 2021. http://dx.doi.org/10.1109/mdm52706.2021.00023.
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