劉 敦仁

研究成果

每年研究成果 1994 2001 2003 2004 2005 2007 2008 2009 2010 2011 2012 2013 2015 2023

• 80 Article
• 37 Conference contribution
• 6 Paper
• 5 Conference article
• 2 更多
  • 1 Chapter
  • 1 Review article

每年研究成果

每年研究成果

搜尋結果

• 2023

  News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks

  Liu, D. R., Huang, Y., Jhao, J. J. & Lee, S. J., 2023, (Accepted/In press) 於: Data Technologies and Applications.

  研究成果: Article › 同行評審

  • Collaborative filtering 100%
  • news 65%
  • rating 30%
  • neural network 28%
  • Neural networks 17%

• Talent recommendation based on attentive deep neural network and implicit relationships of resumes

  Huang, Y., Liu, D. R. & Lee, S. J., 7月 2023, 於: Information Processing and Management. 60, 4, 103357.

  研究成果: Article › 同行評審

  • Network Relationships 100%
  • Neural Networks 97%
  • neural network 96%
  • Résumé 94%
  • Deep neural networks 78%
  1 引文 斯高帕斯（Scopus）
• 2022

  A boosting resampling method for regression based on a conditional variational autoencoder

  Huang, Y., Liu, D. R., Lee, S. J., Hsu, C. H. & Liu, Y. G., 4月 2022, 於: Information sciences. 590, p. 90-105 16 p.

  研究成果: Article › 同行評審

  • Resampling Methods 100%
  • Meteorology 91%
  • Boosting 86%
  • Finance 74%
  • Signal processing 51%
  6 引文 斯高帕斯（Scopus）

• Credit default swap prediction based on generative adversarial networks

  Lin, S. Y., Liu, D. R. & Huang, H. P., 2022, (Accepted/In press) 於: Data Technologies and Applications.

  研究成果: Article › 同行評審

  • credit 100%
  • Credit risk 42%
  • news 28%
  • investor 25%
  • Market risks 20%
  2 引文 斯高帕斯（Scopus）

• Online Product Recommendations based on Diversity and Latent Association Analysis on News and Products

  Chen, H. Y., Lin, Y. C., Liu, D. R. & Liu, T. F., 9月 2022, 於: Journal of Information Science and Engineering. 38, 5, p. 1065-1085 21 p.

  研究成果: Article › 同行評審

  • Recommendations 100%
  • Websites 79%
  • news 68%
  • Browsing 42%
  • website 37%
  1 引文 斯高帕斯（Scopus）

• Random RotBoost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets and Its Application to Clinical Decision Support

  Lee, S. J., Tseng, C. H., Yang, H. Y., Jin, X., Jiang, Q., Pu, B., Hu, W. H., Liu, D. R., Huang, Y. & Zhao, N., 5月 2022, 於: Entropy. 24, 5, 617.

  研究成果: Article › 同行評審

  開啟存取

  • AdaBoost 100%
  • Decision Support 95%
  • Adaptive boosting 73%
  • set theory 64%
  • Ensemble 61%
  8 引文 斯高帕斯（Scopus）
• 2021

  A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction

  Lai, C. H., Liu, D-R. & Lien, K. S., 5月 2021, 於: International Journal of Machine Learning and Cybernetics. 12, 5, p. 1203–1217

  研究成果: Article › 同行評審

  • Neural networks 100%
  • Semantics 80%
  • Collaborative filtering 53%
  • Recommender systems 23%
  • Deep learning 21%
  10 引文 斯高帕斯（Scopus）

• Air pollution prediction based on factory-aware attentional LSTM neural network

  Liu, D. R., Hsu, Y. K., Chen, H. Y. & Jau, H. J., 1月 2021, 於: Computing. 103, 1, p. 75-98 24 p.

  研究成果: Article › 同行評審

  • Air Pollution 100%
  • Memory Term 92%
  • Long short-term memory 81%
  • Air pollution 80%
  • Air Quality 72%
  24 引文 斯高帕斯（Scopus）
• 2020

  Air pollution forecasting based on attention-based LSTM neural network and ensemble learning

  Liu, D-R., Lee, H. SJ., Huang, Y. & Chiu, C. J., 16 6月 2020, 於: Expert Systems. 37, 3, p. 1-16

  研究成果: Article › 同行評審

  • Ensemble Learning 100%
  • Air Pollution 79%
  • Memory Term 73%
  • Long short-term memory 64%
  • Air pollution 63%
  52 引文 斯高帕斯（Scopus）

• Integrating collaborative topic modeling and diversity for movie recommendations during news browsing

  Liu, D-R., Chou, Y. C. & Jian, C. T., 10月 2020, 於: Kybernetes. 49, 11, p. 2633-2649

  研究成果: Article › 同行評審

  • Browsing 100%
  • Recommendations 63%
  • movies 62%
  • Websites 50%
  • news 43%
  1 引文 斯高帕斯（Scopus）

• Rating prediction based on Merge-CNN and concise attention review mining

  Chou, Y. C., Chen, H. Y., Liu, D. R. & Chang, D. S., 10月 2020, 於: IEEE Access. 8, p. 190934-190945

  研究成果: Article › 同行評審

  開啟存取

  • Mining 100%
  • Simulation 27%
  • Volume 25%
  • Industry 11%
  • Recommender systems 5%
  6 引文 斯高帕斯（Scopus）
• 2019

  Advertisement recommendation based on personal interests and ad push fairness

  Liu, D-R., Liao, Y. S., Chung, Y. H. & Chen, K. Y., 9月 2019, 於: Kybernetes. 36, 3, p. 1586-1605

  研究成果: Article › 同行評審

  • Fairness 100%
  • Recommendations 84%
  • fairness 74%
  • Websites 67%
  • website 63%
  7 引文 斯高帕斯（Scopus）

• Churn prediction and social neighbour influences for different types of user groups in virtual worlds

  Liu, D-R., Liao, H. Y., Chen, K. Y. & Chiu, Y. L., 1 6月 2019, 於: Expert Systems. 36, 3, p. 1-19 e12384.

  研究成果: Article › 同行評審

  • Virtual Worlds 100%
  • Prediction 42%
  • Influence 40%
  • Customers 21%
  • Prediction Model 13%
  7 引文 斯高帕斯（Scopus）

• Online news recommendations based on topic modeling and online interest adjustment

  Liu, D. R., Liao, Y. S. & Lu, J. Y., 9 9月 2019, 於: Industrial Management and Data Systems. 119, 8, p. 1802-1818 17 p.

  研究成果: Article › 同行評審

  • News 100%
  • Semantics 81%
  • Recommender systems 79%
  • Modeling 69%
  • Factorization 39%
  9 引文 斯高帕斯（Scopus）
• 2018

  Online recommendations based on dynamic adjustment of recommendation lists

  Liu, D-R., Chen, K. Y., Chou, Y. C. & Lee, J. H., 1 12月 2018, 於: Knowledge-Based Systems. 161, p. 375-389 15 p.

  研究成果: Article › 同行評審

  • Dynamic Adjustment 100%
  • Websites 67%
  • News 32%
  • Web Sites 20%
  • Factorization 19%
  18 引文 斯高帕斯（Scopus）

• Recommender system based on social influence and the virtual house bandwagon effect in virtual worlds

  Liu, D-R., Chou, Y. C., Chung, C. C. & Liao, H. Y., 1 1月 2018, 於: Kybernetes. 47, 3, p. 587-604 18 p.

  研究成果: Article › 同行評審

  • Virtual Worlds 100%
  • Social Influence 92%
  • Recommender Systems 88%
  • bandwagon effect 88%
  • Recommender systems 53%
  8 引文 斯高帕斯（Scopus）
• 2016

  A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles

  Omar, H., Hoang, V. H. & Liu, D-R., 1 1月 2016, 於: Computational Intelligence and Neuroscience. 2016, 9656453.

  研究成果: Article › 同行評審

  開啟存取

  • Computer Neural Networks 100%
  • Neural Network Model 94%
  • Moving Average 89%
  • Forecasting 87%
  • Sales 72%
  32 引文 斯高帕斯（Scopus）
• 2015

  Complementary QA network analysis for QA retrieval in social question-answering websites

  Liu, D-R., Chen, Y. H., Shen, M. & Lu, P. J., 1 1月 2015, 於: Journal of the Association for Information Science and Technology. 66, 1, p. 99-116 18 p.

  研究成果: Article › 同行評審

  • Network Analysis 100%
  • Question Answering 92%
  • Electric network analysis 72%
  • network analysis 72%
  • Websites 61%
  8 引文 斯高帕斯（Scopus）

• Outlier detection from vehicle trajectories to discover roaming events

  Shen, M., Liu, D-R. & Shann, S. H., 10 2月 2015, 於: Information Sciences. 294, p. 242-254 13 p.

  研究成果: Article › 同行評審

  • Outlier Detection 100%
  • Roaming 99%
  • Crime 77%
  • Anomaly detection 67%
  • Trajectory 58%
  20 引文 斯高帕斯（Scopus）

• Recommendations based on personalized tendency for different aspects of influences in social media

  Lai, C. H., Liu, D-R. & Liu, M. L., 1 12月 2015, 於: Journal of Information Science. 41, 6, p. 814-829 16 p.

  研究成果: Article › 同行評審

  • Websites 100%
  • social media 92%
  • popularity 68%
  • Social Web 39%
  • networking 33%
  11 引文 斯高帕斯（Scopus）

• Recommending blog articles based on popular event trend analysis

  Liu, D-R., Omar, H., Liou, C. H., Chi, H. C. & Hsu, C. H., 1 6月 2015, 於: Information sciences. 305, p. 302-319 18 p.

  研究成果: Article › 同行評審

  • Blogs 100%
  • Trend Analysis 98%
  • Internet 30%
  • Recommendations 25%
  • Web 2.0 24%
  21 引文 斯高帕斯（Scopus）

• Virtual friend recommendations in virtual worlds

  Liao, H. Y., Chen, K. Y. & Liu, D-R., 1 1月 2015, 於: Decision Support Systems. 69, p. 59-69 11 p.

  研究成果: Article › 同行評審

  • Virtual Worlds 100%
  • Classifiers 55%
  • contact 47%
  • Classifier 34%
  • Social sciences 32%
  21 引文 斯高帕斯（Scopus）

• Virtual goods recommendations in virtual worlds

  Chen, K. Y., Liao, H. Y., Chen, J. H. & Liu, D-R., 1 1月 2015, 於: Scientific World Journal. 2015, 523174.

  研究成果: Article › 同行評審

  開啟存取

  • Interpersonal Relations 100%
  • goods 99%
  • recommendation 70%
  • Strength 60%
  • Volume 54%
  4 引文 斯高帕斯（Scopus）
• 2014

  Hybrid content filtering and reputation-based popularity for recommending blog articles

  Liu, D-R., Liou, C. H., Peng, C. C. & Chi, H. C., 9 9月 2014, 於: Online Information Review. 38, 6, p. 788-805 18 p.

  研究成果: Article › 同行評審

  • Blogs 100%
  • weblog 81%
  • reputation 78%
  • popularity 73%
  • Collaborative filtering 47%
  4 引文 斯高帕斯（Scopus）

• QA document recommendations for communities of question-answering websites

  Liu, D-R., Chen, Y. H. & Huang, C. K., 1 2月 2014, 於: Knowledge-Based Systems. 57, p. 146-160 15 p.

  研究成果: Article › 同行評審

  • Question Answering 100%
  • Knowledge Communities 72%
  • Websites 66%
  • Web Sites 59%
  • Web 2.0 Technologies 17%
  19 引文 斯高帕斯（Scopus）
• 2013

  Discovering role-based virtual knowledge flows for organizational knowledge support

  Liu, D-R., Lin, C. W. & Chen, H. F., 1 4月 2013, 於: Decision Support Systems. 55, 1, p. 12-30 19 p.

  研究成果: Article › 同行評審

  • Organizational Knowledge 92%
  • Occupational Groups 65%
  • knowledge 58%
  • worker 43%
  • Workers 30%
  13 引文 斯高帕斯（Scopus）

• Discovering workflow-aware virtual knowledge flows for knowledge dissemination

  Shen, M. & Liu, D-R., 1 1月 2013, 於: Lecture Notes in Business Information Processing. 152, p. 80-87 8 p.

  研究成果: Article › 同行評審

  • Work Flow 100%
  • Knowledge Dissemination 94%
  • Knowledge 53%
  • Text mining 40%
  • Knowledge management 39%

• Integrating expert profile, reputation and link analysis for expert finding in question-answering websites

  Liu, D-R., Chen, Y. H., Kao, W. C. & Wang, H. W., 1 1月 2013, 於: Information Processing and Management. 49, 1, p. 312-329 18 p.

  研究成果: Article › 同行評審

  • Expert Finding 100%
  • Link Analysis 92%
  • Question Answering 76%
  • reputation 55%
  • Websites 50%
  75 引文 斯高帕斯（Scopus）

• Novel personal and group-based trust models in collaborative filtering for document recommendation

  Lai, C. H., Liu, D-R. & Lin, C. S., 1 8月 2013, 於: Information sciences. 239, p. 31-49 19 p.

  研究成果: Article › 同行評審

  • Trust Model 100%
  • Collaborative Filtering 87%
  • Collaborative filtering 58%
  • Recommendations 55%
  • Rating 50%
  45 引文 斯高帕斯（Scopus）

• Recommendations based on different aspects of influences in social media

  Lai, C. H., Liu, D-R. & Liu, M. L., 1 1月 2013, 於: Lecture Notes in Business Information Processing. 152, p. 194-201 8 p.

  研究成果: Article › 同行評審

  • Social Media 100%
  • Recommendations 59%
  • Websites 47%
  • Influence 42%
  • Web 2.0 37%
  2 引文 斯高帕斯（Scopus）

• Recommending quality book reviews from heterogeneous websites

  Liu, D-R., Chen, W. H. & Chiu, P. H., 31 1月 2013, 於: Internet Research. 23, 1, p. 27-46 20 p.

  研究成果: Article › 同行評審

  • book review 100%
  • Websites 69%
  • website 65%
  • Web Sites 62%
  • measurement method 24%
  11 引文 斯高帕斯（Scopus）

• Variable consistency and variable precision models for dominance-based fuzzy rough set analysis of possibilistic information systems

  Fan, T. F., Liau, C. J. & Liu, D-R., 1 8月 2013, 於: International Journal of General Systems. 42, 6, p. 659-686 28 p.

  研究成果: Article › 同行評審

  • Fuzzy Rough Sets 100%
  • Information Systems 92%
  • Information systems 61%
  • Cardinality 48%
  • Object 41%
  2 引文 斯高帕斯（Scopus）
• 2012

  Document recommendations based on knowledge flows: A hybrid of personalized and group-based approaches

  Liu, D-R., Lai, C. H. & Chen, Y. T., 1 10月 2012, 於: Journal of the American Society for Information Science and Technology. 63, 10, p. 2100-2117 18 p.

  研究成果: Article › 同行評審

  • Recommender systems 90%
  • knowledge 58%
  • worker 57%
  • Workers 57%
  • Information Needs 41%
  18 引文 斯高帕斯（Scopus）

• Extracting semantic relations to enrich domain ontologies

  Shen, M., Liu, D-R. & Huang, Y. S., 1 12月 2012, 於: Journal of Intelligent Information Systems. 39, 3, p. 749-761 13 p.

  研究成果: Article › 同行評審

  • Ontology 100%
  • Semantics 80%
  • Natural sciences 41%
  • Text mining 34%
  • Education 25%
  17 引文 斯高帕斯（Scopus）

• Hybrid recommendations for mobile commerce based on mobile phone features

  Liou, C. H. & Liu, D-R., 1 1月 2012, 於: Expert Systems. 29, 2, p. 108-123 16 p.

  研究成果: Article › 同行評審

  • Mobile Phone 100%
  • Mobile commerce 85%
  • Recommendations 61%
  • Cellular telephones 55%
  • Collaborative Filtering 27%
  6 引文 斯高帕斯（Scopus）

• Modeling the knowledge-flow view for collaborative knowledge support

  Liu, D-R. & Lin, C. W., 1 7月 2012, 於: Knowledge-Based Systems. 31, p. 41-54 14 p.

  研究成果: Article › 同行評審

  • Modeling 53%
  • Workers 23%
  • Node 12%
  • Team Work 8%
  • Task Performance 7%
  28 引文 斯高帕斯（Scopus）
• 2011

  A logical formulation of rough set definability

  Fan, T. F., Liau, C. J. & Liu, D-R., 1 2月 2011, 於: International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems. 19, 1, p. 27-37 11 p.

  研究成果: Article › 同行評審

  • Rough set theory 100%
  • Data mining 34%
  2 引文 斯高帕斯（Scopus）

• A relational perspective of attribute reduction in rough set-based data analysis

  Fan, T. F., Liau, C. J. & Liu, D-R., 16 8月 2011, 於: European Journal of Operational Research. 213, 1, p. 270-278 9 p.

  研究成果: Article › 同行評審

  • Attribute Reduction 100%
  • Rough Set 71%
  • Attribute 63%
  • Data analysis 59%
  • Reduct 42%
  14 引文 斯高帕斯（Scopus）

• Context-based knowledge support for problem-solving by rule-inference and case-based reasoning

  Ke, C. K. & Liu, D-R., 1 7月 2011, 於: International Journal of Innovative Computing, Information and Control. 7, 7 A, p. 3615-3631 17 p.

  研究成果: Article › 同行評審

  • Case-based Reasoning 100%
  • Inference Rules 77%
  • Case based reasoning 71%
  • Knowledge 46%
  • Context 37%
  7 引文 斯高帕斯（Scopus）

• Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables

  Fan, T. F., Liau, C. J. & Liu, D-R., 1 12月 2011, 於: International Journal of Approximate Reasoning. 52, 9, p. 1283-1297 15 p.

  研究成果: Article › 同行評審

  開啟存取

  • Uncertain Data 100%
  • Fuzzy Rough Sets 90%
  • Decision theory 82%
  • Tables 62%
  • Object 46%
  39 引文 斯高帕斯（Scopus）

• Facilitating cooperateve knowledge support by role-based knowledge-flow views

  Lin, C. W., Liu, D-R. & Chen, H. F., 1 9月 2011, 於: World Academy of Science, Engineering and Technology. 5, 9, p. 122-129 8 p.

  研究成果: Article › 同行評審

• Hybrid-patent classification based on patent-network analysis

  Liu, D-R. & Shih, M. J., 1 2月 2011, 於: Journal of the American Society for Information Science and Technology. 62, 2, p. 246-256 11 p.

  研究成果: Article › 同行評審

  • Network Analysis 93%
  • Patents 70%
  • Electric network analysis 67%
  • network analysis 67%
  • patent 63%
  29 引文 斯高帕斯（Scopus）

• Mining group-based knowledge flows for sharing task knowledge

  Liu, D-R. & Lai, C. H., 1 1月 2011, 於: Decision Support Systems. 50, 2, p. 370-386 17 p.

  研究成果: Article › 同行評審

  • Workers 66%
  • Occupational Groups 65%
  • Graph 64%
  • knowledge 58%
  • Knowledge management 51%
  31 引文 斯高帕斯（Scopus）

• Mobile commerce product recommendations based on hybrid multiple channels

  Liu, D-R. & Liou, C. H., 1 1月 2011, 於: Electronic Commerce Research and Applications. 10, 1, p. 94-104 11 p.

  研究成果: Article › 同行評審

  • Mobile commerce 100%
  • Multiple Channels 92%
  • Mobile Commerce 80%
  • Collaborative filtering 76%
  • Consumption Behavior 44%
  28 引文 斯高帕斯（Scopus）

• Personalized recommendation of popular blog articles for mobile applications

  Liu, D-R., Tsai, P. Y. & Chiu, P. H., 1 5月 2011, 於: Information sciences. 181, 9, p. 1552-1572 21 p.

  研究成果: Article › 同行評審

  • Personalized Recommendation 100%
  • Mobile Applications 94%
  • Blogs 80%
  • Mobile Devices 24%
  • Web Log 19%
  53 引文 斯高帕斯（Scopus）

• Sequence-based trust in collaborative filtering for document recommendation

  Liu, D-R., Lai, C. H. & Chiu, H., 1 8月 2011, 於: International Journal of Human Computer Studies. 69, 9, p. 587-601 15 p.

  研究成果: Article › 同行評審

  • Collaborative filtering 100%
  • Recommender systems 53%
  • trustworthiness 19%
  • rating 13%
  • time factor 12%
  19 引文 斯高帕斯（Scopus）
• 2010

  Discovering competitive intelligence by mining changes in patent trends

  Shih, M. J., Liu, D-R. & Hsu, M. L., 1 4月 2010, 於: Expert Systems with Applications. 37, 4, p. 2882-2890 9 p.

  研究成果: Article › 同行評審

  • Competitive intelligence 100%
  • Industry 34%
  • Managers 20%
  • Semiconductor materials 7%
  114 引文 斯高帕斯（Scopus）
• 2009

  A hybrid of sequential rules and collaborative filtering for product recommendation

  Liu, D-R., Lai, C. H. & Lee, W. J., 29 9月 2009, 於: Information Sciences. 179, 20, p. 3505-3519 15 p.

  研究成果: Article › 同行評審

  • Collaborative Filtering 100%
  • Collaborative filtering 66%
  • Recommendations 63%
  • Customers 60%
  • Purchase Behavior 43%
  135 引文 斯高帕斯（Scopus）

• Integrating knowledge flow mining and collaborative filtering to support document recommendation

  Lai, C. H. & Liu, D-R., 1 12月 2009, 於: Journal of Systems and Software. 82, 12, p. 2023-2037 15 p.

  研究成果: Article › 同行評審

  • Collaborative filtering 100%
  • Research laboratories 32%
  • Experiments 20%
  • Industry 12%
  39 引文 斯高帕斯（Scopus）

• Learning dynamic information needs: A collaborative topic variation inspection approach

  Wu, I. C., Liu, D-R. & Chang, P. C., 1 12月 2009, 於: Journal of the American Society for Information Science and Technology. 60, 12, p. 2430-2451 22 p.

  研究成果: Article › 同行評審

  • Learning Dynamics 100%
  • Information Needs 80%
  • Inspection 72%
  • Workers 54%
  • worker 47%
  6 引文 斯高帕斯（Scopus）