孙见山
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男
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汉
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中共党员
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副教授
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管理学院1515
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\u003c/br\u003e孙见山，副教授，博士生导师。2014年6月获得香港城市大学信息系统专业和中国科学技术大学管理科学专业双博士学位。\u003c/br\u003e\u003c/br\u003e近年来，一直从事商务智能与大数据分析、电子商务与个性化推荐和社交网络分析等方面的研究工作。主持了国家自然科学基金面上项目、国家自然科学基金青年项目、安徽省自然科学基金青年项目、合肥市软科学课题项目以及合肥工业大学学术新人提升计划项目等多项课题的研究工作。在Tourism Management、IEEE TKDE、DSS、JASIST、IPM、IJPE、《管理世界》等国内外重要学术期刊及会议上发表学术论文50余篇，其中SCI/SSCI期刊论文30余篇。\u003c/br\u003e\u003c/br\u003e目前，兼任49th-52th Hawaii International Conference on System Sciences (HICSS, 2016-2020)-minitrack：Decision Support for Smart Cities 分会主席，2016-2019 IEEE Data Science in Cyberspace程序委员会成员，2016-2019 IEEE DSC- Big Data and Business Analytics Workshop 程序委员会主席；担任British Journal of Educational Technology、Internet Research、 IEEE ACCESS等期刊客座主编，兼任Decision Support Systems、 Information Retrieval、Journal of Network and Computer Applications、Information Processing \u0026 Management 等国际著名学术期刊的同行评议审稿人。
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2009/09 – 2014/10，香港城市大学，资讯系统系，博士\u003c/br\u003e2009/09 – 2014/06，中国科学技术大学，管理科学系，博士\u003c/br\u003e2005/09 – 2009/07，安徽财经大学，信息管理系，学士
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商务智能与大数据分析\u003c/br\u003e电子商务与推荐系统\u003c/br\u003e社交网络分析\u003c/br\u003e科研管理
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AIS会员\u003c/br\u003eHICSS 分会主席
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电子商务研究所
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博士
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博士
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外校（境内）
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Dec 18, 2016 6:10:06 PM
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中国科学技术大学、香港城市大学
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电子商务系
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email
sunjs9413@hfut.edu.cn
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（1）期刊论文\u003c/br\u003e[1] Jianshan Sun, Mingyue Zhu,Yuanchun Jiang, Yezheng Liu, Le Wu. Hierarchical Attention Model for Personalized Tag Recommendation, Journal of the Association for Information Science and Technology, Forthcoming, 2020.\u003c/br\u003e[2] Jianshan Sun, Jie Geng, Xusen Cheng, Mingyue Zhu, Qiyu Xu, Yunli Liu. Leveraging Personality Information to Improve Community Recommendation in E-learning Platforms, British Journal of Educational Technology, Forthcoming, 2020.\u003c/br\u003e[3] Jianshan Sun, Zhiqiang Tian, Yelin Fu, Jie Geng, Chunli Liu. Digital Twins in Human Understanding: A Deep Learning-based Method to Recognize Personality Traits, International Journal of Computer Integrated Manufacturing, Forthcoming, 2020.\u003c/br\u003e[4] Yezheng Liu, Chang Ye, Jianshan Sun (*), Yuanchun Jiang, Hai Wang. Modeling Undecided Voters to Forecast Elections: From Bandwagon Behavior and the Spiral of Silence Perspective, International Journal of Forecasting, Forthcoming, 2020.\u003c/br\u003e[5]Jianshan Sun, Rongrong Ying, Yuanchun Jiang(*), Jianmin He, Zhengping Ding. Leveraging friend and group information to improve social recommender system. Electronic Commerce Research, 20, 147–172, 2020. \u003c/br\u003e[6]Yezheng Liu,Fei Du,Jianshan Sun,Yuanchun Jiang, iLDA: An interactive latent Dirichlet allocation model to improve topic quality. Journal of Information Science, 46(1), 23–40, 2020. \u003c/br\u003e[7]Xuseng Cheng, Shixuan Fu, Jianshan Sun(*), Anil Bilgihan, Fevzi Okumus. An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust. Tourism Management, 71, 366-377, 2019.(ESI 高被引论文)\u003c/br\u003e[8]Yezheng Liu ,Fei Du, Jianshan Sun(*), Yuanchun Jiang, Tingting Zhu, Identifying Social Roles Using Heterogeneous Features in Online Social Networks, Journal of the Association for Information Science and Technology, 70(7), 660-674, 2019.\t\u003c/br\u003e[9] Yuanchun Jiang, Dandan Tao, Yezheng Liu, Jianshan Sun(*),Haifeng Ling. Cloud service recommendation based on unstructured textual information. Future Generation Computer Systems, 97, 387-396, 2019.\u003c/br\u003e[10]Yezheng Liu,Zhiqiang Tian,Jianshan Sun(*),Yuanchun Jiang,Xue Zhang, Distributed representation learning via node2vec for implicit feedback recommendation, Neural Computing and Applications, Published Online, 2019.\u003c/br\u003e[11]Yezheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang and Xiangnan He. Generative adversarial active learning for unsupervised outlier detection. IEEE Transactions on Knowledge and Data Engineering, Published Online, 2019.\u003c/br\u003e[12] Yezheng Liu, Qiang Xiong, Jianshan Sun(*), Yuanchun Jiang, Thusari Silva, Haifeng Ling. Topic-based hierarchical Bayesian linear regression models for niche items recommendation. Journal of Information Science, 45(1), 92–104, 2019.\u003c/br\u003e[13] Yezheng Liu, Yingxin Song, Jianshan Sun, Chunhua Sun, Chunli Liu, Xiayu Chen(*), Understanding the relationship between food experiential quality and customer dining satisfaction: A perspective on negative bias, International Journal of Hospitality Management, forthcoming, 2019.\u003c/br\u003e[14]Yang Qian, Yuanchun Jiang, Yanan Du, Jianshan Sun, Yezheng Liu. Segmenting Market Structure from Multi-channel Clickstream Data: A Novel Generative Model. Electronic Commerce Research, Published online, 2019.\u003c/br\u003e[15] Jianshan Sun, Yuanchun Jiang, Xusen Cheng, Wei Du, Yezheng Liu (*), Jian Ma. A hybrid approach for article recommendation in research social networks. Journal of Information Science, 44(5), 696–711, 2018.\u003c/br\u003e[16] Yezheng Liu, Fei Du, Jianshan Sun (*), Yuanchun Jiang, Jianmin He, Tingting Zhu, Chunhua Sun. A crowdsourcing-based topic model for service matchmaking in Internet of Things. Future Generation Computer Systems, 87, 186-197,2018.\u003c/br\u003e[17] Xiongfei Cao, Jianshan Sun(*). Exploring the effect of overload on the discontinuous intention of social media users: An SOR perspective. Computers in Human Behavior, 81, 10-18, 2018.\u003c/br\u003e[18] Yezheng Liu, Lu Yang, Jianshan Sun(*), Yuanchun Jiang, Jinkun Wang . Collaborative matrix factorization mechanism for group recommendation in big data-based library systems. Library Hi Tech, 36(3), 458-481, 2018.\u003c/br\u003e[19] Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Yezheng Liu, Xiao Liu(*).Group recommendation based on a bidirectional tensor factorization model. World Wide Web Journal, 21(4), 961–984, 2018.\u003c/br\u003e[20] Yezheng Liu, Jiajia Wang, Yuanchun Jiang (*), Jianshan Sun, Jennifer Shang. Identifying Impact of Intrinsic Factors on Topic Preferences in Online Social Media: A Nonparametric Hierarchical Bayesian Approach. Information Sciences,423, 219-234, 2018.\u003c/br\u003e[21] Shanshan Wang, Kun Chen, Zhiyong Liu, Renyong Guo, Jianshan Sun, Qiongjie Dai. A data-driven approach for extracting and analyzing collaboration patterns at the interagent and intergroup levels in business process. Electronic Commerce Research, 19, 451–470, 2019.\u003c/br\u003e[22] Di Xue, Lifa Wu, Zheng Hong, Shize Guo, Liang Gao, Zhiyong Wu, Xiaofeng Zhong, Sun, J. (2018). Deep learning-based personality recognition from text posts of online social networks. Applied Intelligence, 48, 4232–4246, 2018.\u003c/br\u003e[23] Wei Du, Xusen Cheng, Chen Yang, Jianshan Sun, Jian Ma. Establishing interoperability among knowledge organization systems for research management: a social network approach. Scientometrics, 112(3), 1489-1506, 2017.\u003c/br\u003e[24] Wei Xu, Jianshan Sun (*), Jian Ma, Wei Du. A personalized information recommendation system for R\u0026D project opportunity finding in big data contexts. Journal of Network and Computer Applications, 59, 362-369, 2016. \u003c/br\u003e[25] Xusen Cheng, Yuanyuan Li, Jianshan Sun (*), Jianqing Huang. Application of a novel collaboration engineering method for learning design: A case study. British Journal of Educational Technology, 47(4), 803-818, 2016.\u003c/br\u003e[26] Xusen Cheng, Shixuan Fu, Jianshan Sun (*), Yajing Han, Jia Shen, Alex Zarifis. Investigating individual trust in semi-virtual collaboration of multicultural and unicultural teams. Computers in Human Behavior, 62, 267–276, 2016. \u003c/br\u003e[27] Mingyu Zhang, Jian Ma, Zhiying Liu, Jianshan Sun, Thushari Silva. A research analytics framework‐supported recommendation approach for supervisor selection.British Journal of Educational Technology, 47(2), 403-420, 2016.\u003c/br\u003e[28] Jianshan Sun, Gang Wang, Xusen Cheng, Yelin Fu. Mining affective text to improve social media item recommendation. Information Processing \u0026 Management. 51(4), 444-457, 2015. \u003c/br\u003e[29] Jianshan Sun, Wei Xu (*), Jian Ma, Jiasen Sun. Leverage RAF to find domain experts on research social network services: a big data analytics methodology with mapreduce framework. International Journal of Production Economics, 165, 185-193, 2015.\u003c/br\u003e[30] Yelin Fu, Jianshan Sun (*), K. K. Lai, John W. K. Leung. A robust optimization solution to bottleneck generalized assignment problem under uncertainty. Annals of Operations Research, 233(1), 123-133, 2015.\u003c/br\u003e[31] Gang Wang, Zhu Zhang, Jianshan Sun, Shanlin Yang, Catherine A Larson. POS-RS: A Random Subspace method for sentiment classification based on part-of-speech analysis. Information Processing \u0026 Management, 51(4), 458-479, 2015.\u003c/br\u003e[32] Gang Wang, Jianshan Sun, Jian Ma, Kaiquan Xu, Jibao Gu. Sentiment classification: the contribution of ensemble learning. Decision Support Systems. 57, 77-93, 2014.\u003c/br\u003e[33] Jianshan Sun, Jian Ma, Zhiying Liu, Yajun Miao. Leveraging content and connections for scientific article recommendation in social computing contexts, Computer Journal. 57(9), 1331-1342, 2014. \u003c/br\u003e[34] 刘业政, 孙见山(*), 姜元春, 陈夏雨, 刘春丽, 大数据的价值发现：4C模型，管理世界，第2 期，2020. \u003c/br\u003e[35] 缪亚军，孙见山，戚巍，卓越学术合作特征:模式、强度及影响力视角，科研管理， 第 9 期，2014.\u003c/br\u003e[36] 缪亚军, 钟琪, 孙见山, 卓越学术合作中不同身份合作效果与能力研究,科学学与科学技术管理，第 35 卷，第 12 期，3-10,2014. \u003c/br\u003e\u003c/br\u003e\u003c/br\u003e（2）会议论文\u003c/br\u003e\u003c/br\u003e[1] Mingyu Zhang, Jianshan Sun, Jian Ma, Tailai Wu, Zhiying Liu. A Personality Matching-aided Approach for Supervisor Recommendation, 49th Hawaii International Conference on System Sciences (HICSS2016), Hawaii, USA, January 5-8, 2016. \u003c/br\u003e[2] Jinkun Wang, Yezheng Liu, Jianshan Sun, Yuanchun Jiang, Chunhua Sun. Diversified Recommendation\tIncorporating\tItem\tContent\tInformation\tBased\ton\tMOEA/D, 49th Hawaii International Conference on System Sciences (HICSS2016), Hawaii, USA, January 5-8, 2016. (最佳论文提名).\u003c/br\u003e[3] Chen Yang, Jianshan Sun, Jian Ma, Shanshan Zhang, Gang Wang, Zhongsheng Hua. Scientific collaborator recommendation in heterogeneous bibliographic networks. 48th Hawaii International Conference on System Sciences (HICSS2015), Honolulu, Hawaii, USA, January, 2015. \u003c/br\u003e[4] Cheng Yang, Jian Ma, Jianshan Sun, Thushari Silva, Xiaoyan Liu, Zhongsheng Hua. A weighted topic model enhanced approach for complementary collaborator recommendation. 18th Pacific Asia Conference on Information Systems (PACIS2014), Chengdu, China, June 24-28, 2014. \u003c/br\u003e[5] Wei Du, Wei Xu, Jianshan Sun, Jian Ma. Online social network as a powerful tool to identify experts for emergency management. 2nd International Workshop on Emergency Management in Big Data Age (WAIM 2014 International Workshops-Big EM), Macau, China, June 16-18, 2014. (最佳学生论文).\u003c/br\u003e[6] Xusen Cheng, Yuanyuan Li, Jianshan Sun, Xiaodong Zhu. Easy collaboration process support system design for student collaborative group work: a case study. 47th Hawaii International Conference on System Sciences (HICSS2014), Hawaii, USA, January 7-10, 2014. \u003c/br\u003e[7] Jianshan Sun, Jian Ma, Xusen Cheng, Zhiying Liu, Xiongfei Cao. Finding an expert: a model recommendation system. 34th International Conference on Information Systems (ICIS2013)， Milan, Italy, December 16-18, 2013. \u003c/br\u003e[8] Jianshan Sun, Jian Ma, Xiaoyan Liu, Zhiying Liu, Gang Wang, Hongbing Jiang, Thushari Silva. A novel approach for personalized article recommendation in online scientific communities, 46th Hawaii International Conference on System Sciences (HICSS2013), Hawaii, USA, January 7-10, 2013. (最佳论文提名). \u003c/br\u003e
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主持课题\u003c/br\u003e1.面向信息茧房困境的跨领域推荐方法研究，国家自然科学基金面上项目，2019.01.01-2022.12.31。\u003c/br\u003e2.基于在线消费者购买意向挖掘的个性化推荐研究，国家自然科学青年基金项目， 2016.01.01-2018.12.31。\u003c/br\u003e3.基于网购意图识别的个性化推荐研究，安徽省自然科学基金，2016.07.01-2018.06.30。\u003c/br\u003e5.合肥市科技创新评价机制研究，合肥市科技局软科学研究计划，2015.12.22-2016.05.3。\u003c/br\u003e6.个性化推荐理论与方法研究，合肥工业大学优秀青年人才A项目，2020.04.01-2022.12.31。\u003c/br\u003e7.基于在线用户人格特质挖掘的个性化推荐研究，合肥工业大学学术新人提升计划项目，2017.03.01-2018.12.31。\u003c/br\u003e8.科研社交网络中的论文推荐系统，合肥工业大学博士专项科研资助基金，2014.10.01-2016.09.30。\u003c/br\u003e\u003c/br\u003e参与课题\u003c/br\u003e1、沉浸式交互购物环境下的个性化营销决策理论， 国家自然科学基金重大研究计划重点支持项目， 2019.01-2022.12\u003c/br\u003e2、大数据环境下的商务管理---面向大数据的商务分析与计算方法以及支撑平台研究，国家自然科学基金重大项目，2015.01-2019.12。\u003c/br\u003e3、第三方检验检测科技服务云平台研发及示范应用，国家科技支撑计划项目子课题，2015.01-2017.12。\u003c/br\u003e
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讲授课程\u003c/br\u003e商务智能与大数据分析\u003c/br\u003e组织行为学\u003c/br\u003e大数据应用与管理\u003c/br\u003e网络营销\u003c/br\u003e电子商务概论\u003c/br\u003e商业研究方法"