User Tools

Site Tools


public:ranking

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

public:ranking [2011/02/10 11:32]
htlin
public:ranking [2019/06/25 13:25]
Line 1: Line 1:
-====== 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 ===== 
-  * 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. Reduction from Ordinal Ranking to Binary Classification. National Taiwan University, September 2009. 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]] 
-  * 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 ===== 
-  * Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master'​s Thesis, 2009. 
- 
  
public/ranking.txt ยท Last modified: 2019/06/25 13:25 (external edit)