·236· 智能系统学报 第16卷 al graph collaborative filtering[C]//Proceedings of the couplings in recommendation for deep collaborative fil- 42nd International ACM SIGIR Conference on Research tering[C]//Proceedings of the 27th International Joint and Development in Information Retrieval.Paris,France, Conference on Artificial Intelligence.Stockholm, 2019:165-174. Sweden,2018:3662-3668. [18]ZHANG Jiani,SHI Xingjian,ZHAO Shenglin,et al. [26]MIKOLOV T,CHEN Kai,CORRADO G,et al.Efficient STAR-GCN:stacked and reconstructed graph convolu- estimation of word representations in vector tional networks for recommender systems[C]//Proceed- space[C]//Proceedings of the Ist International Confer- ings of the Twenty-Eighth International Joint Conference ence on Learning Representations.Scottsdale,USA. on Artificial Intelligence.Macao,China,2019: 2013:1301-3781 4264-4270. [27]LIU Yiding,TUAN-ANH P,CONG Gao,et al.An exper- [19]CHENG Chen,YANG Haiqin,KING I,et al.Fused mat- imental evaluation of Point-of-Interest recommendation in rix factorization with geographical and social influence in location-based social networks[J].Proceedings of the location-based social networks[C]//Proceedings of the VLDB endowment,2017,10(10):1010-1021 26th AAAI Conference on Artificial Intelligence. [28]RENDLE S,FREUDENTHALER C.GANTNER Z,et al. Toronto,Canada,2012:17-23. [20]LIAN Defu,ZHAO Cong,XIE Xing,et al.GeoMF:joint BPR:Bayesian personalized ranking from implicit feed- geographical modeling and matrix factorization for point- back[C]//Proceedings of the Twenty-Fifth Conference on of-interest recommendation[Cl//Proceedings of the 20th Uncertainty in Artificial Intelligence.Montreal,Canada, ACM SIGKDD International Conference on Knowledge 2009:452-461 Discovery and Data Mining.New York,USA,2014: 作者简介： 831-840. 孟祥福，教授，博士生导师，博士 [21]XING Shuning,LIU Fangai,ZHAO Xiaohui,et al. 主要研究方向为用户行为分析、 Points-of-interest recommendation based on convolution Web数据库top-k查询、非独立同分布 matrix factorization[J].Applied intelligence,2018,48(8): 学习和空间数据管理。发表学术论文 2458-2469. 30余篇。 [22]LIU Ming,DING Yukang,XIA Min,et al.STGAN:a unified selective transfer network for arbitrary image at- tribute editing[C]//Proceedings of the IEEE/CVF Confer- 齐雪月，硕士研究生，主要研究方 ence on Computer Vision and Pattern Recognition.Long 向为兴趣点推荐。 Beach,America,2019:3668-3677. [23]ATHIWARATKUN B,WILSON A,ANANDKUMAR A.Probabilistic FastText for multi-sense word embed- dings[C]//Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics.Melbourne, Australia.2018:1-11. 张全贵，副教授，博士，主要研究 [24]HORNIK K,STINCHCOMBE M,WHITE H.Multilayer 方向为推荐系统、深度学习。 feedforward networks are universal approximators[J]. Neural networks,1989,2(5):359-366. [25]ZHANG Quangui,CAO Longbing,ZHU Chengzhang,at al.CoupledCF:learning explicit and implicit user-itemal graph collaborative filtering[C]//Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Paris, France, 2019: 165−174. ZHANG Jiani, SHI Xingjian, ZHAO Shenglin, et al. STAR-GCN: stacked and reconstructed graph convolu￾tional networks for recommender systems[C]//Proceed￾ings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Macao, China, 2019: 4264−4270. [18] CHENG Chen, YANG Haiqin, KING I, et al. Fused mat￾rix factorization with geographical and social influence in location-based social networks[C]//Proceedings of the 26th AAAI Conference on Artificial Intelligence. Toronto, Canada, 2012: 17−23. [19] LIAN Defu, ZHAO Cong, XIE Xing, 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: 831−840. [20] XING Shuning, LIU Fangai, ZHAO Xiaohui, et al. Points-of-interest recommendation based on convolution matrix factorization[J]. Applied intelligence, 2018, 48(8): 2458–2469. [21] LIU Ming, DING Yukang, XIA Min, et al. STGAN: a unified selective transfer network for arbitrary image at￾tribute editing[C]//Proceedings of the IEEE/CVF Confer￾ence on Computer Vision and Pattern Recognition. Long Beach, America, 2019: 3668−3677. [22] ATHIWARATKUN B, WILSON A, ANANDKUMAR A. Probabilistic FastText for multi-sense word embed￾dings[C]//Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. Melbourne, Australia, 2018: 1−11. [23] HORNIK K, STINCHCOMBE M, WHITE H. Multilayer feedforward networks are universal approximators[J]. Neural networks, 1989, 2(5): 359–366. [24] ZHANG Quangui, CAO Longbing, ZHU Chengzhang, at al. CoupledCF: learning explicit and implicit user-item [25] couplings in recommendation for deep collaborative fil￾tering[C]//Proceedings of the 27th International Joint Conference on Artificial Intelligence. Stockholm, Sweden, 2018: 3662−3668. MIKOLOV T, CHEN Kai, CORRADO G, et al. Efficient estimation of word representations in vector space[C]//Proceedings of the 1st International Confer￾ence on Learning Representations. Scottsdale, USA, 2013: 1301−3781. [26] LIU Yiding, TUAN-ANH P, CONG Gao, et al. An exper￾imental evaluation of Point-of-Interest recommendation in location-based social networks[J]. Proceedings of the VLDB endowment, 2017, 10(10): 1010–1021. [27] RENDLE S, FREUDENTHALER C, GANTNER Z, et al. BPR: Bayesian personalized ranking from implicit feed￾back[C]//Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. Montreal, Canada, 2009: 452−461. [28] 作者简介： 孟祥福，教授，博士生导师，博士， 主要研究方向为用户行为分析、 Web 数据库 top-k 查询、非独立同分布 学习和空间数据管理。发表学术论文 30 余篇。 齐雪月，硕士研究生，主要研究方 向为兴趣点推荐。 张全贵，副教授，博士，主要研究 方向为推荐系统、深度学习。 ·236· 智 能 系 统 学 报 第 16 卷