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國立臺北科技大學 資訊與財金管理系 副教授

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東吳大學 資訊管理系 副教授

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資策會工程師

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企業顧問

5

專業講師

1

Li-Chen Cheng, Ming-Chan Lin (2019) A hybrid recommender system for the mining of consumer preferences from their reviews. Journal of Information Science.

2

鄭麗珍、江彥孟、游政憲 (2019).應用深度學習技術於網路虛假評論偵測。電子商務學報（TSSCI）。 

3

Li-Chen Cheng, Chi-Lun Huang (2019). Exploring contextual factors from consumer reviews affecting movie sales: an opinion mining approach. Electronic Commerce Research.  (SSCI , IF=1.489) (科技部管理二學門報告：電子商務期刊排名第二名)   

4

Li-Chen Cheng, Chia-Chi WU, Chih-Yi, Chen (2019, Jan). Behavior Analysis of Customer Churn for a Customer Relationship System: An Empirical Case Study. Journal of Global Information Management.27(1)(SSCI, IF=0.613). 

5

Li-Chen Cheng, Hui-Chun Chu (2019, Jan). An innovative consensus map embedded collaborative learning system for ER diagram learning: sequential analysis of students’ learning achievements. Interactive Learning Environments. , 27:3, 410-425, DOI: 10.1080/10494820.2018.1482357 (SSCI, IF=1.604).

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Li-Chen Cheng, Ya-Han Hu, Shr-Han Chiou (2017, May). Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression. Journal of Medical Systems, 41(5). (SCI, IF=2.098).

7

Li-Chen Cheng, Yen-Liang Chen, Yu-Chia Chiang (2016, Oct). Identifying conflict patterns to reach a consensus –A novel group decision approach. European Journal of Operational Research, 254(2). (SCI, IF=3.428) (科技部管理二學門2013年報告：生產管理期刊排名第十二名) 

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Li-Chen Cheng, Min-Jhuan Jhang (2015, Nov). A novel approach to exploring maximum consensus graphs from users’ preference data in a new age environment. Electronic Commerce Research, 15(4). (SSCI , IF=1.489). (科技部管理二學門報告：電子商務期刊排名第二名)  

9

Li-Chen Cheng, Hui-Chun Chu, Bang-Min Shiue (2015, Oct). An Innovative Approach for Assisting Teachers in Improving Instructional Strategies via Analyzing Historical Assessment Data of Students. International Journal of Distance Education Technologies, 13(4), 40-61. (EI).

10

Li-Chen Cheng, Hua-An Wang (2014, May). A fuzzy recommender system based on the integration of subjective preferences and objective information. Applied Soft Computing, 18, 290–301. (SCI, IF=3.907).

11

鄭麗珍,李麗美（2014年05月）。探勘不平衡資料集中之突顯樣式-以國道事故資料為實證研究。資管學報，21(2), 161-183。（TSSCI）。

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Yen-Liang Chen, Li-Chen Cheng, Weu-Yu Hsu (2013, Dec). A New Approach to the Group Ranking Problem: Finding Consensus Ordered Segments from Users' Preference Data. Decision Sciences, 44(6),1091-1119. (SSCI, IF=1.641) (科技部管理二學門2013年報告：資訊管理期刊排名第五名)

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Yen-Liang Cheng, Li-Chen Cheng Po-Hsiang Huang (2013, Jan). Mining consensus preference graphs from users' ranking data. Decision Support Systems, 54(2), 1055-1064. (SCI, IF=3.565) (COMPUTER SCIENCE, INFORMATION SYSTEMS)(23/184=13%). (科技部管理二學門2013年報告：資訊管理期刊排名第六名)

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Li-Chen Cheng, Li-Min Sun (2012, Apr), Exploring consumer adoption of new services by analyzing the behavior of 3G subscribers: an empirical case study, Electronic Commerce Research and Applications, 11(2), pp.89-100. (SSCI, IF= 2.582).

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鄭麗珍，吳文雄 ( 2011, Dec.) ，應用社會網路理論偵測營業稅循環交易之研究，數據分析，第六卷第六期 : 109-126 頁.

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鄭麗珍， 賴美惠 (2011, Oct.), 結合知識地圖之公部門陳訴文件自動化分案系統， 資管學報， 中華民國資訊管理學會 ，第十八卷第四期: 1-20頁 (TSSCI) .

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Yen-Liang Chen, Li-Chen Cheng (2010, Mar) An approach to group ranking decisions in a dynamic environment, Decision Support Systems, 48(4), pp. 622-634. (SCI, IF=3.565) (COMPUTER SCIENCE, INFORMATION SYSTEMS)(23/184=13%). (國科會管理一與二學門93年報告：資訊管理期刊排名第六名)

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Yen-Liang Chen, Li-Chen Cheng, (2009, Oct.) Mining maximum consensus sequences from group ranking data, European Journal of Operational Research, 198(1), pp. 241-251. (SCI, IF=3.428).

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Yen-Liang Chen, Li-Chen Cheng (2008, May) A novel collaborative filtering approach for recommending ranked items, Expert Systems with Applications, 34(4), pp. 2396-2405. (SCI, =3.768) 

20

Yen-Liang Chen, Li-Chen Cheng and C. N. Chung, (2008, Apr.) A group recommendation system with consideration of interactions among group members, Expert Systems with Applications, 34(3), pp. 2082-2090. (SCI, =3.768) 

1

Mu-En Wu, Yu-Hsiang Huang, Li-Chen Cheng,(2018) Applied attention-based LSTM neural networks in stock prediction. The 2nd International Workshop on Big Data for Financial News and Data, Seattle.

2

Li-Chen Cheng, Yh-Hsin Lien, Yan Meng Chiang  (2017) Applied deep learning in fake review detection and dataset generation, 2017 IEEE International Conference on Big Data 

3

Li-Chen Cheng, Pin-Yi Li, Ssu-Hua Chen (2017) Explore users’ preference from Facebook fan pages, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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Li-Chen Cheng, Judy C. R. Tseng, Tsai- Yu Chung (2017) Case Study of Fake Web Reviews,  IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

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Li-Chen Cheng, Yan-Wei Huang (2015) To Quantize Comments from IMDB as For Improving Sequels, International Conference on Innovation and Management

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Li-Chen Cheng, Chi-Lun Huang  (2015) Mining Some Important Features from IMDb Reviews, International Conference on Innovation and Management

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Li-Chen Cheng*, Chi Lun Huang (2014) Mining the Reviews of Movie Trailers on YouTube and Comments on Yahoo Movies, The 2014 International Conference on Information and Knowledge Engineering (IKE'14)

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Li-Chen Cheng*, Min-Juan Jhang (2012). Applied graph mining technique to discover consensus graphs from group ranking decisions. The 2012 International Conference on Artificial Intelligence (ICAI'1), Las Vegas, USA.

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Shin-Yi Wu, Li-Chen Cheng (March, 2012) , “Mining Same-taste Users with Common Preference Patterns for Ubiquitous Exhibition Navigation”,  4th Asian Conference on Intelligent Information and Database Systems (ACIIDS-2012), Kaohsiung, Taiwan 【EI】

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Li-Chen Cheng*, Hua-An Wan (June, 2011), “A novel fuzzy recommendation system integrated the experts' opinion”, 2011 IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 2011), Taipei, Taiwan, pp. 2060 – 2065. (NSC 99-2410-H-031-051)【EI】

11

Li-Chen Cheng*, Zhi-Han Ke, Bang-Min Shiue, (July, 2011), “Detecting changes of opinion from customer reviews” , The 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'11), Shanghai, China, Vol. 3, pp. 1851 – 1855. (NSC 99-2410-H-031-051)【EI】

12

Li-Chen Cheng*, Min-Ting Lai (July, 2011), “Mining the change of consensus from group ranking decisions” , The 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'11) Shanghai, China, Vol. 3, pp. 1515 – 1519. (NSC 99-2410-H-031-051).【EI】

13

Ding-Chyu Liu, Li-Chen Cheng (July, 2010) “Using Model Checking to Ensure Transaction Fairness in E-Commerce Protocols”, 2010 International Conference on Business and Information (BAI2010), Kitakyushu, Japan. (NSC 98-2410-H-031 -001)

14

鄭麗珍，林銘嬋 (2016)，結合意見探勘之推薦系統，第27屆國際資訊管理學術研討會(ICIM2016)

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鄭麗珍，魏怡君 (2015)，創新網路協定電視推薦系統。ERP學術及 實務研討會，「研討會優良論文獎」佳作。科技部：102-2410-H-031-058-MY3。本人為第一作者、通訊作者。

16

鄭麗珍，曹盛涵 (2014)，結合評論意見探勘之推薦系統。ERP學術及實務研討會，Taipei。科技部：102-2410-H-031-058-MY3。本人為第一作者、通訊作者。「研討會優良論文獎」第三名。

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鄭麗珍，方志源 (2014)，電影評論者的研究，第25屆國際資訊管理學術研討會(ICIM2014) 。

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鄭麗珍，黃俊銘(2013)，電影評論之語料庫建立之研究，第24屆國際資訊管理學術研討會(ICIM2013)。

Information and Management (SSCI)

Interactive Learning Environment (SSCI)

Decision Support Systems (SCI)

Electronic Commerce Research (SSCI) 

Computers in Human Behavior (SSCI) 

Knowledge-Based Systems(SCI) 

European Journal of Operational Research(SCI)

Applied Soft Computing(SCI) 

Int. J. of Information Technology and Decision Making (IJITDM) (SCI)

IInternational Journal of Distance Education Technologies

電子商務學報(TSCI) 

資訊管理學報(TSCI)

臺大管理論叢查(TSCI) 

圖書資訊學研究(TSCI)

1

108年8月至109年7月，結合深度學習與中文意見探勘技術建立企業策略商業價值平台

2

105年8月至108年7月，主持科技部三年期計畫「以意見探勘技術挖掘社群媒體的群眾智慧」。(MOST 105-2410-H-031 -035 -MY3)

3

102年8月至105年7月，主持國科會三年期計畫「以體驗型商品與搜索品評論為基礎之不同世代競爭情報探勘研究」。(NSC 102-2410-H-031 -058 -MY3 )

4

100年8月至102年7月，主持國科會兩年期計畫「動態環境中探勘決策資料的改變」。(NSC 100-2410-H-031 -010-MY2)

5

99年8月至100年7月，主持國科會計畫「結合主、客觀使用者資訊之推薦系統」。(NSC 99-2410-H-031-051)

6

98年8月至99年7月，主持國科會計畫「由成對比較的群體資訊中發掘重要的知識」。(NSC98-2410-H-031-001)

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97年8月至98年7月，主持國科會計畫「新的知識挖掘模式- 在群體不完整排序資料中探勘最大共識序列」。(NSC97-2410-H-031-056)

1

106-108年金融科技：整合深度學習、大數據分析與客戶關係管理系統進行以客戶為中心之精準行銷

2

108 年 ，主持產學合作計畫「ＡＩ與網路行銷策略導入」。橘熊科技公司

3

107年11 月，主持科技部產學合作計畫「大數據網路平台中虛假資訊偵測系統初探」。，大數據股份有限公司

4

105年6月至106年5月，主持科技部產學合作計畫「包裝產業之商業智慧系統導入與雛形」。(MOST 105-2622-H-031-001 -CC3) 

1

系統分析與設計

2

程式設計

3

企業資源規劃

4

決策支援系統

5

網路行銷與資料分析

6

大數據分析與行銷應用

7

知識管理

8

商業智慧

9

企業決策