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- | ====== Introduction ====== | ||
- | Ranking is an important concept in modelling our preferences. | ||
- | We rank hotels by their quality using one star to five stars; | ||
- | we rank baseball teams by their records using pairwise competitions; | ||
- | we rank job applicants by their ability using ordered scores. | ||
- | In machine learning, the ranking concept | ||
- | corresponds to a rich family of important problems, | ||
- | which lend themselves to | ||
- | a wide range of applications from social science to | ||
- | behavioural science to information retrieval. | ||
- | For instance, in a Web search system, | ||
- | we want the machines to automatically | ||
- | rank/order the results of our query based on relevance; | ||
- | in an online shopping system, | ||
- | we want the machines to automatically | ||
- | rank/rate the products based on user evaluations; | ||
- | in a music playing system, | ||
- | we want the machines to automatically | ||
- | rank/recommend the songs based on our personal tastes. | ||
- | |||
- | ====== Our Related Works ====== | ||
- | |||
- | ===== paper ===== | ||
- | * Yu-Xun Ruan, Hsuan-Tien Lin and Ming-Feng Tsai, Improving Ranking Performance with Cost-sensitive Ordinal Classification via Regression, National Cheng-Chi University and National Taiwan University, January 2012; submitted. [[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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