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Taiwan Academic Institutional Repository >
Browse by Author
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"liu duen ren"
Showing items 1-10 of 211 (22 Page(s) Totally) 1 2 3 4 5 6 7 8 9 10 > >> View [10|25|50] records per page
| 國立交通大學 |
2020-07-01T05:20:35Z |
NEWS RECOMMENDATION BASED ON COLLABORATIVE SEMANTIC TOPIC MODELS AND RECOMMENDATION ADJUSTMENT
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Liao, Yu-Shan; Lu, Jun-Yi; Liu, Duen-Ren |
| 國立交通大學 |
2020-02-02T23:54:41Z |
Air pollution forecasting based on attention-based LSTM neural network and ensemble learning
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Liu, Duen-Ren; Lee, Shin-Jye; Huang, Yang; Chiu, Chien-Ju |
| 國立交通大學 |
2020-02-02T23:54:28Z |
Integrating collaborative topic modeling and diversity for movie recommendations during news browsing
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Liu, Duen-Ren; Chou, Yun-Cheng; Jian, Ciao-Ting |
| 國立交通大學 |
2019-12-13T01:12:52Z |
Online Recommendation based on Collaborative Topic Modeling and Item Diversity
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Liu, Duen-Ren; Chou, Yun-Cheng; Jian, Ciao-Ting |
| 國立交通大學 |
2019-12-13T01:10:04Z |
Advertisement recommendation based on personal interests and ad push fairness
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Liu, Duen-Ren; Liao, Yu-Shan; Chung, Ya-Han; Chen, Kuan-Yu |
| 國立交通大學 |
2019-12-13T01:09:52Z |
Online news recommendations based on topic modeling and online interest adjustment
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Liu, Duen-Ren; Liao, Yu-Shan; Lu, Jun-Yi |
| 國立交通大學 |
2019-08-02T02:18:27Z |
Churn prediction and social neighbour influences for different types of user groups in virtual worlds
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Liu, Duen-Ren; Liao, Hsiu-Yu; Chen, Kuan-Yu; Chiu, Yi-Ling |
| 國立交通大學 |
2019-04-03T06:41:57Z |
A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles
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Omar, Hani; Van Hai Hoang; Liu, Duen-Ren |
| 國立交通大學 |
2019-04-02T06:04:46Z |
An Online Activity Recommendation Approach based on the Dynamic Adjustment of Recommendation Lists
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Liu, Duen-Ren; Chen, Kuan-Yu; Chou, Yun-Cheng; Lee, Jia-Huei |
| 國立交通大學 |
2019-04-02T05:58:09Z |
Online recommendations based on dynamic adjustment of recommendation lists
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Liu, Duen-Ren; Chen, Kuan-Yu; Chou, Yun-Cheng; Lee, Jia-Huei |
Showing items 1-10 of 211 (22 Page(s) Totally) 1 2 3 4 5 6 7 8 9 10 > >> View [10|25|50] records per page
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