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SIGIR
2009
ACM
16 years 1 months ago
On rank correlation and the distance between rankings
Rank correlation statistics are useful for determining whether a there is a correspondence between two measurements, particularly when the measures themselves are of less interest...
Ben Carterette
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
CIKM
2009
Springer
16 years 1 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
IM
2007
15 years 6 months ago
Ranking Websites: A Probabilistic View
In this paper we suggest evaluating the importance of a website with the mean frequency of visiting the website for the Markov chain on the Internet Graph describing random surfi...
Ying Bao, Guang Feng, Tie-Yan Liu, Zhiming Ma, Yin...
WEBI
2010
Springer
15 years 4 months ago
How to Improve Your Google Ranking: Myths and Reality
Abstract--Search engines have greatly influenced the way people access information on the Internet as such engines provide the preferred entry point to billions of pages on the Web...
Ao-Jan Su, Y. Charlie Hu, Aleksandar Kuzmanovic, C...