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» Learning random walks to rank nodes in graphs
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CIKM
2008
Springer
14 years 11 months ago
A random walk on the red carpet: rating movies with user reviews and pagerank
Although PageRank has been designed to estimate the popularity of Web pages, it is a general algorithm that can be applied to the analysis of other graphs other than one of hypert...
Derry Tanti Wijaya, Stéphane Bressan
NAACL
2010
14 years 7 months ago
Hitting the Right Paraphrases in Good Time
We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, an...
Stanley Kok, Chris Brockett
CVPR
2011
IEEE
14 years 5 months ago
Hyper-graph Matching via Reweighted Random Walks
Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as g...
Jungmin Lee (Seoul National University), Minsu Cho...
WEBI
2005
Springer
15 years 2 months ago
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation
This work presents a new perspective on characterizing the similarity between elements of a database or, more generally, nodes of a weighted, undirected, graph. It is based on a M...
François Fouss, Alain Pirotte, Marco Saeren...
EMNLP
2010
14 years 7 months ago
Automatic Keyphrase Extraction via Topic Decomposition
Existing graph-based ranking methods for keyphrase extraction compute a single importance score for each word via a single random walk. Motivated by the fact that both documents a...
Zhiyuan Liu, Wenyi Huang, Yabin Zheng, Maosong Sun