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public:ranking
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public:ranking [2009/06/19 00:38] htlin 建立 |
public:ranking [2019/06/25 13:25] (current) |
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| we want the machines to automatically | we want the machines to automatically | ||
| rank/recommend the songs based on our personal tastes. | rank/recommend the songs based on our personal tastes. | ||
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| + | ====== Our Related Works ====== | ||
| + | |||
| + | ===== paper ===== | ||
| + | * Yu-Xun Ruan, Hsuan-Tien Lin and Ming-Feng Tsai, Improving Ranking Performance with Cost-sensitive Ordinal Classification via Regression, Improving Ranking Performance with Cost-sensitive Ordinal Classification via Regression. Information Retrieval, 2013. [[http://www.csie.ntu.edu.tw/~htlin/paper/doc/cocr.pdf|link]] | ||
| + | * Hsuan-Tien Lin and Ling Li. Reduction from Cost-sensitive Ordinal Ranking to Weighted Binary Classification. Neural Computation, to appear. Some preliminary parts appeared in NIPS '06 and PL Workshop @ ECML/PKDD '09. [[http://www.csie.ntu.edu.tw/~htlin/paper/doc/redordinal.pdf|link]] | ||
| + | * Ming-Feng Tsai, Shang-Tse Chen, Yao-Nan Chen, Chun-Sung Ferng, Chia-Hsuan Wang, Tzay-Yeu Wen and Hsuan-Tien Lin. An Ensemble Ranking Solution to the Yahoo! Learning to Rank Challenge. National Taiwan University, Technical Report, September 2010. [[http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsltr10ensemble.pdf|link]] | ||
| + | * Hsuan-Tien Lin and Ling Li. Combining Ordinal Preferences by Boosting. Preference Learning Workshop @ ECML/PKDD '09, 2009. [[http://www.csie.ntu.edu.tw/~htlin/paper/doc/wspl09adaboostor.pdf|link]] | ||
| + | |||
| + | ===== thesis ===== | ||
| + | * Yu-Xun Ruan. Studies on Ordinal Ranking with Regression. Master's Thesis, 2010. | ||
| + | * Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master's Thesis, 2009. | ||
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public/ranking.1245371910.txt.gz · Last modified: 2019/06/25 13:26 (external edit)
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