[1] MA Y, GAN M. Exploring multiple spatio-temporal information for point-of-interest recommendation[J]. Soft Computing, 2020, 24: 1873318747.
[2] 杨晓蕾, 李胜, 何熊熊, 等. 基于张量分解的多维信息融合兴趣点推荐算法[J]. 小型微型计算机系统, 2020, 41(5):902907.
YANG X L, LI S, HE X X, el al. Multi -dimensional information fused point-of-interest recommendation based on tensor decomposition[J]. Journal of Chinese Computer Systems, 2020, 41(5): 902907.
[3] 董婵娟, 李胜, 何熊熊, 等. 融合地理信息、种类信息与隐式社交关系的兴趣点推荐算法[J]. 模式识别与人工智能, 2021, 34(2):106116.
DONG C J, LI S, HE X X, et al. Point of interest recommendation algorithm integrating geo-category information and implicit social relationship[J]. Pattern Recognition and Artificial Intelligence, 2021, 34(2): 106116.
[4] CHEN J W, LI J B, AHMED M, et al. Next location prediction with a graph convolutional network based on a seq2seq framework[J]. KSII Transactions on Internet and Information Systems, 2020, 14(5): 19091928.
[5] ZHANG J Y, LIU X, ZHOU X F, et al. Leveraging graph neural networks for point-of-interest recommendations[J]. Neurocomputing, 2021, 462: 113.
[6] 邵长城, 陈平华. 融合社交网络和图像内容的兴趣点推荐[J]. 计算机应用, 2019, 35(5):12611268.
SHAO C C, CHEN P H. Point-of-interest recommendation integrating social networks and visual contents[J]. Journal of Computer Applications, 2019, 39(5): 12611268.
[7] HE J, LI X, LIAO L J, et al. Inferring a personalized next point-of-interest recommendation model with latent behavior patterns[C]//Proceedings of the AAAI Conference on Artificial Intelligence. California, USA, 2016: 137143.
[8] 陶永才, 曹朝阳, 石磊, 等. 一种结合时间因子聚类的群组兴趣点推荐模型[J]. 小型微型计算机系统, 2020, 41(2):356360.
TAO Y C, CAO Z Y, SHI L, el al. Group poi recommendation model based on time factor clustering[J]. Journal of Chinese Computer Systems, 2020, 41(2): 356360.
[9] ZHAO P, LUO A, LIU Y, et al. Where to go next: a spatio-temporal gated network for next poi recommendation[J]. IEEE Transactions on Knowledge and Data Engineering, 2020, 34(5): 25122524.
[10] FENG J, LI Y, ZHANG C, et al. Deepmove: predicting human mobility with attentional recurrent networks[C]//Proceedings of the 2018 World Wide Web Conference. Lyon, France, 2018: 14591468.
[11] CHENG C, YANG H, LYU M R, et al. Where you like to go next: successive point-of-interest recommendation[C]//Twenty-Third International Joint Conference on Artificial Intelligence. Beijing, China, 2013: 26052611.
[12] SUN K, QIAN T, CHEN T, et al. Where to go next: modeling long-and short-term user preferences for point-of-interest recommendation[C]//Proceedings of the AAAI Conference on Artificial Intelligence. New York, USA, 2020: 214221.
[13] LIAN D, ZHAO C, XIE X, et al. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation[C]//Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, USA, 2014: 831840.
[14] YU X, CHU Y, JIANG F, et al. SVMs classification based two-side cross domain collaborative filtering by inferring intrinsic user and item features[J]. Knowledge-Based Systems, 2018, 141: 8091.
[15] YU X, JIANG F, DU J, et al. A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains[J]. Pattern Recognition, 2019, 94(1): 96109.
[16] YU X, PENG Q, XU L, et al. A selective ensemble learning based two-sided cross-domain collaborative filtering algorithm[J]. Information Processing & Management, 2021, 58(6): 102691.
[17] YE M, YIN P, LEE W C, et al. Exploiting geographical influence for collaborative point-of-interest recommendation[C]//Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Beijing, China, 2011: 325334.
[18] 夏英, 张金凤. 融合社交关系和局部地理因素的兴趣点推荐[J]. 计算机工程与应用,2021,57(15):133139.
XIA Y, ZHANG J F. Poi recommendation fusing social relations and local geographic factors[J]. Computer Engineering and Applications, 2021, 57(15): 133139.
[19] ZHONG C Y, ZHU J H, XI H R. PS-LSTM: popularity analysis and social network for point-of-interest recommendation in previously unvisited locations[C]//Proceedings of 2021 2nd International Conference on Computing, Networks and Internet of Things. Beijing, China, 2021: 16.
[20] LIU Y, PEI A, WANG F, el al. An attention-based category-aware gru model for the next poi recommendation[J]. International Journal of Intelligent Systems, 2021, 36(7): 31743189.
[21] LIU Q, WU S, WANG L, et al. Predicting the next location: a recurrent model with spatial and temporal contexts[C]//Proceedings of the AAAI Conference on Artificial Intelligence. Arizona, USA, 2016: 194200.
[22] XING S, LIU F, WANG Q, et al. Content-aware point-of-interest recommendation based on convolutional neural network[J]. Applied Intelligence, 2019, 49(3): 858871.
[23] SAFAVI S, JALALI M. RecPOID: poi recommendation with friendship aware and deep cnn[J]. Future Internet, 2021, 13(3): 114.
