孫見山

孫見山，1987年3月出生，中共黨員，博士，合肥工業大學管理學院電子商務系副教授，碩士生導師。

基本介紹

• 中文名：孫見山
• 出生日期：1987年3月
• 畢業院校：香港城市大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：商務智慧型與大數據分析
• 任職院校：合肥工業大學管理學院
• 政治面貌：中共黨員

個人經歷

教育經歷

2009/09 – 2014/10，香港城市大學，資訊系統系，博士

2009/09 – 2014/06，中國科學技術大學，管理科學系，博士

2005/09 – 2009/07，安徽財經大學，信息管理系，學士

工作經歷

合肥工業大學管理學院電子商務系副教授，碩士生導師。

學術兼職

AIS會員

HICSS 分會主席

研究方向

商務智慧型與大數據分析

電子商務與推薦系統

社交網路分析

科研管理

主講課程

商務智慧型與大數據分析

組織行為學

大數據套用與管理

網路行銷

電子商務概論

商業研究方法

學術成果

（1）期刊論文

[1]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, Accepted, 2020.

[2]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.

[3]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.

[4]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 高被引論文)

[5]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.

[6] 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.

[7]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.

[8]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.

[9] 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.

[10] 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.

[11]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.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

[18] 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.

[19] 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.

[20] 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.

[21] Wei Xu, Jianshan Sun (*), Jian Ma, Wei Du. A personalized information recommendation system for R&D project opportunity finding in big data contexts. Journal of Network and Computer Applications, 59, 362-369, 2016.

[22] 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.

[23] 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.

[24] 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.

[25] Jianshan Sun, Gang Wang, Xusen Cheng, Yelin Fu. Mining affective text to improve social media item recommendation. Information Processing & Management. 51(4), 444-457, 2015.

[26] 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.

[27] 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.

[28] 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 & Management, 51(4), 458-479, 2015.

[29] Gang Wang, Jianshan Sun, Jian Ma, Kaiquan Xu, Jibao Gu. Sentiment classification: the contribution of ensemble learning. Decision Support Systems. 57, 77-93, 2014.

[30] 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.

[31] 劉業政, 孫見山(*), 姜元春, 陳夏雨, 劉春麗, 大數據的價值發現：4C模型，管理世界，第2 期，2020.

[32] 繆亞軍，孫見山，戚巍，卓越學術合作特徵:模式、強度及影響力視角，科研管理， 第 9 期，2014.

[33] 繆亞軍, 鐘琪, 孫見山, 卓越學術合作中不同身份合作效果與能力研究,科學學與科學技術管理，第 35 卷，第 12 期，3-10,2014.

（2）會議論文

[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.

[2] Jinkun Wang, Yezheng Liu, Jianshan Sun, Yuanchun Jiang, Chunhua Sun. Diversified Recommendation Incorporating Item Content Information Based on MOEA/D, 49th Hawaii International Conference on System Sciences (HICSS2016), Hawaii, USA, January 5-8, 2016. (最佳論文提名).

[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.

[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.

[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. (最佳學生論文).

[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.

[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.

[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. (最佳論文提名).

科研項目

主持課題

1.面向信息繭房困境的跨領域推薦方法研究，國家自然科學基金面上項目，2019.01.01-2022.12.31。

2.基於線上消費者購買意向挖掘的個性化推薦研究，國家自然科學青年基金項目， 2016.01.01-2018.12.31。

3.基於網購意圖識別的個性化推薦研究，安徽省自然科學基金，2016.07.01-2018.06.30。

5.合肥市科技創新評價機制研究，合肥市科技局軟科學研究計畫，2015.12.22-2016.05.3。

6.個性化推薦理論與方法研究，合肥工業大學優秀青年人才A項目，2020.04.01-2022.12.31。

7.基於線上用戶人格特質挖掘的個性化推薦研究，合肥工業大學學術新人提升計畫項目，2017.03.01-2018.12.31。

8.科研社交網路中的論文推薦系統，合肥工業大學博士專項科研資助基金，2014.10.01-2016.09.30。

參與課題

1、沉浸式互動購物環境下的個性化行銷決策理論， 國家自然科學基金重大研究計畫重點支持項目， 2019.01-2022.12

2、大數據環境下的商務管理---面向大數據的商務分析與計算方法以及支撐平台研究，國家自然科學基金重大項目，2015.01-2019.12。

3、第三方檢驗檢測科技服務雲平台研發及示範套用，國家科技支撐計畫項目子課題，2015.01-2017.12。