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» Improving Diversity in Ranking using Absorbing Random Walks
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NAACL
2007
13 years 6 months ago
Improving Diversity in Ranking using Absorbing Random Walks
Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael, ...
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
13 years 10 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
13 years 3 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev
WWW
2004
ACM
14 years 5 months ago
The effect of the back button in a random walk: application for pagerank
Theoretical analysis of the Web graph is often used to improve the efficiency of search engines. The PageRank algorithm, proposed by [5], is used by the Google search engine [4] t...
Fabien Mathieu, Mohamed Bouklit
COLING
2010
12 years 12 months ago
FactRank: Random Walks on a Web of Facts
Fact collections are mostly built using semi-supervised relation extraction techniques and wisdom of the crowds methods, rendering them inherently noisy. In this paper, we propose...
Alpa Jain, Patrick Pantel