Journal Paper

  1. Chin-Hui Lai*, Yu-Ju Lu, Ping-Shun Chen (2024). Using Data-driven Techniques to Predict Outpatient Ultrasound Examination Time for the Multi-clinic Outpatient Appointment Scheduling Problem. Communications in Statistics - Simulation and Computation, 1-19. (SCI)
  2. Ping-Shun Chen, Chin-Hui Lai*, Ying-Tzu Chen, Ting-Yu Lung (2024). Developing a Prototype System of Computer-aided Appointment Scheduling: A radiology department case study” , 2024 , Technology and Health Care, 32, 997-1013. (SCI)
  3. Chin-Hui Lai*, Pang-Yu Peng (2023). A Hybrid Deep Learning Method to Extract Multi-features from Reviews and User–Item Relations for Rating Prediction. International Journal of Computational Intelligence Systems, 16, 1-17. (SCI)
  4. Chin-Hui Lai*, Kuo-Chiuan Tseng (2022). Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation. Applied Sciences, 12(4), 2118.
  5. Chia-Nan Chen, Chin-Hui Lai, Guan-Wei Lu, Ching-Chun Huang, Le-Jean Wu, Hui-Chuan Lin, and Ping-Shun Chen (2022). Applying Simulation Optimization to Minimize Drug Inventory Costs: A Study of a Case Outpatient Pharmacy. Healthcare, 10(3), 556.(SSCI/SCI)
  6. Chin-Hui Lai*, Wei-Ping Lee, Yung-Lin Fu (2021).Churn Prediction Based on the Analysis of Customers' Preferences and Social Behavior on a Big Data Platform. Journal of Technology Management, 26(1), 1-28.
  7. Chin-Hui Lai*, Chia-Yu Hsu (2021). Rating prediction based on combination of review mining and user preference analysis. Information Systems, 99, 10174. (SCI)
  8. Chin-Hui Lai*, Duen-Ren Liu, Kun-Sin Lien (2021). A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction. International Journal of Machine Learning and Cybernetics, 12(5), 1203–1217. (SCI)
  9. Chin-Hui Lai*, Yu-Chieh Chang (2019). Document recommendation based on the analysis of group trust and user weightings. Journal of Information Science, 45(6), 845-862. (SSCI)
  10. Chin-Hui Lai*, Shin-Jye Lee, Hung-Ling Huang (2019). A social recommendation method based on the integration of social relationship and product popularity. International Journal of Human-Computer Studies, 121, 42-57. (SSCI)
  11. 李維平, 李國誠, 賴錦慧, 廖玟柔, 陳俊諺, 鍾佾蓁 (2018). 運用類神經網路建構台股指數期貨預測模型. 先進工程學刊, 13, 73-78.
  12. Shin-Jye Lee, Tonglin Chen, Lun Yu, Chin-Hui Lai* (2018). Image Classification Based on the Boost Convolutional Neural Network. IEEE Access, 6, 12755-12768. (SCI)
  13. Wei-Ping Lee, Chin-Hui Lai*, Hsueh-Wei Liu, Yu-Tung Lin, Wen-Jou Liao (2017). Combining Sale Comparison Approach and Data Mining Techniques in Prediction Models of House Prices. Journal of Advanced Engineering, 12 (3), 141-149. (Chinese)
  14. Chin-Hui Lai*, Duen-Ren Liu, Men-Lan Liu (2015). Recommendations based on personalized tendency for different aspects of influences in social media. Journal of Information Science, 41 (6), 814-829. (SSCI)
  15. Wei-Ping Lee, Chin-Hui Lai*, Chun-Chieh Su (2015). A Novel Hierarchical Clustering Algorithm Using the Micro-Cluster Strategy, Journal of Advanced Engineering, 10(3), 117-124. (Chinese)
  16. Chin-Hui Lai* (2015). Applying knowledge flow mining to group recommendation methods for task-based groups. Journal of the Association for Information Science and Technology, 66(3), 545–563, 2015. (SSCI).
  17. Szu-Yin Lin, Chin-Hui Lai*, Chih-Heng Wu, Chi-Chun Lo (2014). A trustworthy QoS-based collaborative filtering approach for web service discovery. Journal of Systems and Software, 93, 217–228. (SCI).
  18. Chin-Hui Lai, Duen-Ren Liu, Cai-Sin Lin (2013). Novel personal and group-based trust models in collaborative filtering for document recommendation. Information Sciences, 239, 31-49. (SCI).
  19. Duen-Ren Liu, Chin-Hui Lai*, Ya-Ting Chen (2012). Document recommendations based on knowledge flows: A hybrid of personalized and group-based approaches. Journal of the American Society for Information Science and Technology, 63(10), 2100-2117. (SSCI).
  20. Duen-Ren Liu, Chin-Hui Lai*, Hsuan Chiu (2011). Sequence-based trust in collaborative filtering for document recommendation. International Journal of Human-Computer Studies, 69 (9), 587-601. (SSCI).
  21. Duen-Ren Liu, Chin-Hui Lai* (2011). Mining Group-based Knowledge Flows for Sharing Task Knowledge. Decision Support Systems, 50(2), 370-386. (SCI).
  22. Chin-Hui Lai*, and Duen-Ren Liu (2009). Integrating knowledge flow mining and collaborative filtering to support document recommendation. Journal of Systems and Software, 82, 2023-2037. (SCI)
  23. Duen-Ren Liu, Chin-Hui Lai*, and Wang-Jung Lee (2009). A hybrid of sequential rules and collaborative filtering for product recommendation. Information Sciences, 179(20), 3505-3519. (SCI)
  24. Duen-Ren Liu, Meng-Jung Shih, Churn-Jung Liau, and Chin-Hui Lai* (2009). Mining the change of event trends for decision support in environmental scanning. Expert Systems with Applications, 36(2, Part 1), 972-984. (SCI)
  25. Duen-Ren Liu, Chin-Hui Lai*, and Chiu-Wen Huang (2008). Document recommendation for knowledge sharing in personal folder environments. Journal of Systems and Software, 81(8), 1377-1388. (SCI)

Conference Paper

  1. Chin-Hui Lai*, Chun-Yo Kuo (2024). Analyzing Users’ Reviews and Long-term and Short-term Preferences for Point-of-Interest Recommendation. The 7th International Conference on Engineering and Applied Sciences, Japan.
  2. Chin-Hui Lai*, Yi-Chien Kuo (2023). Point-of-Interest Recommendation Based on User Reviews and Geographic Area Features. 8th International Conference on Cloud Computing and Internet of Things (CCIOT), Japan. (Best Presentation Award)
  3. Chin Hui Lai*, Pang Yu Peng (2022). Aspect based Rating Prediction with Deep Learning Based on the Combination of Aspect, Sentiment, and Semantic Features. The 9th IIAE International Conference on Intelligent Systems and Image Processing, Japan.
  4. Chin-Hui Lai*, Kuo-Chiuan Tseng (2021). Applying Deep Learning in User Preference for Rating Prediction, IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), Taiwan. (Best Paper Award)
  5. Chin-Hui Lai*, Yung-Lin Fu (2019). Analyzing Customers’ Preferences and Social Behavior on a Big Data Platform for Churn Prediction. International Conference on Advanced Information Science and System (AISS), Singapore.
  6. Chin-Hui Lai*, Duen-Ren Liu, Siao-Rong Lin (2018). Document Recommendation with Implicit Feedback Based on Matrix Factorization and Topic Model. IEEE International Conference on Applied System Innovation (ICASI), Chiba, Tokyo, Japan. (Best Paper Award)
  7. Chin-Hui Lai*, Pei-Ru Hong (2017). Group Recommendation Based on the Analysis of Group Influence and Review Content. The 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Kanazawa, Japan, 100-109.
  8. Chin-Hui Lai*, Duen-Ren Liu, Chi-Hao Yeh (2016). Social Recommendation Based on the Analysis of Interest and Follow Influences. The 4th IIAE International Conference on Intelligent Systems and Image Processing (ICISIP), Kyoto, Japan, 233-239.
  9. Chin-Hui Lai*, Yu-Chieh Chang (2015). Combining Group Trust and Weighting to Recommend Documents for Task-based Groups. International Conference on Business and Information (BAI), Hawaii, USA.
  10. Chin-Hui Lai* (2014). A Novel Group Recommendation Based on Knowledge Flows. 16th IEEE Conference on Business Informatics (CBI), Geneva, Switzerland. (EI)
  11. Chin-Hui Lai*, Hung-Ling Huang, and Wei-Ping Lee (2014). A Novel Product Recommendation Based on the Integration of Social Interaction and Trust Relationships. International Conference on Business and Information (BAI), Osaka, Japan.
  12. Wei-Ping Lee, Chin-Hui Lai*, and Meng-Chieh Chung (2014). Using Data Mining and Multi-Classification Technology in Corporate Financial Distress Prediction Model. International Conference on Business and Information (BAI), Osaka, Japan.
  13. Chin-Hui Lai*, Duen-Ren Liu, Mei-Lan Liu (2013). Recommendations Based on Different Aspects of Influences in Social Media. 14th International Conference on Electronic Commerce and Web Technologies (EC-Web), Lecture Notes in Business Information Processing, Prague, Czech Republic, 194-201. (EI)
  14. Szu-Yin Lin, Chin-Hui Lai*, Chih-Heng Wu, Chi-Chun Lo (2013). A trustworthy QoS-based mechanism for web service discovery based on collaborative filtering. Fifth International Conference on Ubiquitous and Future Networks (ICUFN), Da Nang, Vietnam, 71-76. (EI)
  15. Chin-Hui Lai*, Duen-Ren Liu, Cai-Sin Lin (2012). Applying Personal and Group-based Trust Models in Document Recommendation. Proceedings of the International Conference on Data Technologies and Applications (DATA), Rome, Italy, 29-38. (EI)
  16. Chin-Hui Lai*, Duen-Ren Liu, Ya-Ting Chen (2011). Recommending Documents via Knowledge Flow-based Group Recommendation. 6th International Conference on Software and Data Technologies, Seville, Spain, 341-349. (EI)
  17. Hsuan Chiu, Duen-Ren Liu, and Chin-Hui Lai* (2009), Sequence-Based Trust for Document Recommendation, 10th International Conference on Electronic Commerce and Web Technologies (EC-Web), LNCS 5692, Linz, Austria, 240-251.(EI)
  18. Chin-Hui Lai*, Duen-Ren Liu (2008). Mining knowledge flow for modeling the information needs of task-based groups. The IEEE International Conference on Information Reuse and Integration (IRI 2008), Las Vegas, Nevada, USA, July, 13-15.(EI)
  19. Chin-Hui Lai*, Duen-Ren Liu (2007). Knowledge Flow-Based Document Recommendation for Knowledge Sharing. The Second International Conference on Knowledge Science, Engineering and Management (KSEM), Melbourne Australia, November 2007, LNAI 4798, 325-335.
  20. Duen-Ren Liu, Chin-Hui Lai*, Wang-Jung Lee (2007). A Hybrid of Sequential Rules and Collaborative Filtering for Product Recommendation. The 9th IEEE International Conference on E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE 2007), Tokyo, Japan, 211-220. (EI)
  21. Chiu-Wen Huang, Chin-Hui Lai*, Duen-Ren Liu (2005). Document Recommendation in Organizations with Personal Folders,” Proceedings of the Fifth International Conference on Electronic Business (ICEB), Hong Kong, 249-251.
  22. Meng-Jung Shih, Duen-Ren Liu, Churn-Jung Liau, Chin-Hui Lai* (2004). Mining the Change of Events in Environmental Scanning for Decision Support. The Fourth International Conference on Electronic Business (ICEB), China, 1156-1161.

Books

  1. 賴錦慧, “人機介面設計” , 東華書局 , 2010 , ISBN: 9789861549439 .
  2. 施雅月 & 賴錦慧, “資料探勘” , 台灣培生教育 , 2008 , ISBN: 9789861546575 .
  3. Lai, C. (2010). Design the user interface: strategies for effective human-computer interaction (Chinese Version), TungHua, Taiwan.
  4. Shih, Y. & Lai, C. (2008). Introduction to data mining (Chinese Version), Pearson Education, Taiwan.

Research Projects and Grants

Ministry of Science and Technology (MOST), Taiwan

  1. 整合圖神經網路與情感語意分析之興趣點推薦方法
    A Point-of-Interest Recommendation Method Based on the Integration of Graph Neural Networks and Sentiment-Semantic Analysis
    Aug 2024 - July 2025
    Grand ID: NSTC 113-2410-H-033-025-
  2. 基於評論探勘與長短期喜好分析之興趣點推薦方法
    Mining Reviews and Analyzing Long-term and Short-term Preferences for Point-of-Interest Recommendation
    Aug 2023 - Oct 2024
    Grand ID: NSTC 112-2410-H-033-016-
  3. 整合評論探勘與使用者移動軌跡分析之POI推薦方法
    A Novel POI Recommendation Method Based on the Combination of Review Mining and the Analysis of User Movement Tracking
    Aug 2022 - Oct 2023
    Grand ID: MOST 111-2410-H-033-013-
  4. 以深度學習方法為基礎之評論探勘與評分預測
    Review Mining and Rating Prediction Based on Deep Learning Methods
    Aug 2020 - July 2022
    Grand ID: MOST 109-2410-H-03-011-MY2
  5. 結合評論探勘與使用者喜好分析之評分預測
    Rating prediction based on combination of review mining and user preference analysis
    Aug 2018 - July 2020
    Grand ID: MOST 107-2410-H-033-019
  6. 於巨量資料平台分析主題模型與社群行為之使用者流失預測
    Prediction of user churn based on the analysis of topic model and social behavior under a big data platform
    Aug 2017 - July 2018
    Grand ID: MOST 106-2410-H-033-013
  7. 應用影響力分析與主題模型於群組書籍推薦
    Applying the analysis of user influence and topic modelling to book recommendations for groups
    Aug 2015 - July 2017
    Grand ID: MOST 104-2410-H-033-027
  8. 整合社會關係與產品熱門程度之產品推薦機制
    Combining social relationship and product popularity for product recommendation on a social network
    Aug 2014 - July 2015
    Grand ID: MOST 103-2410-H-033-025
  9. 以個人和群體信任為基礎之文件推薦
    Document Recommendations Based on Hybrid Personal and Group Trust Models
    Aug 2013 - July 2014 [Year 2 of 2]
    Grand ID: NSC 101-2410-H-033-022-MY2
  10. 以個人和群體信任為基礎之文件推薦
    Document Recommendations Based on Hybrid Personal and Group Trust Models
    Aug 2013 - July 2014 [Year 1 of 2]
    Grand ID: NSC 101-2410-H-033-022-MY2
  11. 整合知識流探勘於群體推薦方法之研究
    A study of integrating knowledge flow mining with a group recommendation method
    Aug 2011 - July 2012
    Grand ID: NSC 100-2410-H-033-037