Projects per year
Personal profile
Research Interests
Data Mining、Recommender Systems、Intelligent Data Analysis
Education/Academic qualification
PhD, University of Minnesota Twin Cities
External positions
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Dive into the research topics where Duen-Ren Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Research on Deep Learning and Generative Adversarial Network Models for Document Recommendation
1/08/20 → 31/07/21
Project: Government Ministry › Ministry of Science and Technology
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Research on Deep Learning and Generative Adversarial Network Models for Document Recommendation
1/08/19 → 31/07/20
Project: Government Ministry › Ministry of Science and Technology
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Research on Online Recommendation Methods with Cross-Domain Interest Analysis for Integrated Online News and e-Commerce Web Platforms
1/08/18 → 31/07/19
Project: Government Ministry › Ministry of Science and Technology
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Research on Online Recommendation Methods with Cross-Domain Interest Analysis for Integrated Online News and e-Commerce Web Platforms
1/08/17 → 31/07/18
Project: Government Ministry › Ministry of Science and Technology
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Research on Online Recommendation Methods with Cross-Domain Interest Analysis for Integrated Online News and e-Commerce Web Platforms
1/08/16 → 31/07/17
Project: Government Ministry › Ministry of Science and Technology
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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., Mar 2021, In: International Journal of Machine Learning and Cybernetics. p. 1203–1217 15 p.Research output: Contribution to journal › Article › peer-review
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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 Jun 2020, In: Expert Systems. 37, 3Research output: Contribution to journal › Article › peer-review
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Air pollution prediction based on factory-aware attentional LSTM neural network
Liu, D. R., Hsu, Y. K., Chen, H. Y. & Jau, H. J., 2020, (Accepted/In press) In: Computing.Research output: Contribution to journal › Article › peer-review
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Rating prediction based on Merge-CNN and concise attention review mining
Chou, Y. C., Chen, H. Y., Liu, D. R. & Chang, D. S., 2020, In: IEEE Access. 8, p. 190934-190945 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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 Jun 2019, In: Expert Systems. 36, 3, e12384.Research output: Contribution to journal › Article › peer-review