跳到主要內容區

鄭麗珍

鄭麗珍 教授

/var/file/83/1083/img/1710/323638324.jpg

學歷:

國立中央大學 資訊管理系博士

研究領域:

機器學習與數據分析、數位金融、智慧行銷、社群運算、企業智慧

研究室:

科技大樓 942

Office hour

星期一 16:00~18:00

 

分機:

6720

個人頁面 : https://ljcheng.tw/

 

 

 經歷

1

東吳大學 資訊管理系 副教授

2

資策會工程師

3

企業顧問

4

專業講師

 

 期刊論文

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).

6

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) 

8

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)。

12

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)

13

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)

14

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).

15

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.

16

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) .

17

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)

18

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).

19

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) 

 

研討會論文

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

4

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

5

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

6

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

7

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)

8

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.

9

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】

10

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)

15

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。

17

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) 。

18

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)。

 

 學術服務

 

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)

 

 主持研究計畫

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)

7

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)

 

 產學計畫與服務

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) 

 

 系所開設課程

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

 

瀏覽數: