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» Efficient pagerank approximation via graph aggregation
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SIGIR
2006
ACM
13 years 11 months ago
AggregateRank: bringing order to web sites
Since the website is one of the most important organizational structures of the Web, how to effectively rank websites has been essential to many Web applications, such as Web sear...
Guang Feng, Tie-Yan Liu, Ying Wang, Ying Bao, Zhim...
IM
2007
13 years 5 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...
WWW
2005
ACM
14 years 6 months ago
TotalRank: ranking without damping
PageRank is defined as the stationary state of a Markov chain obtained by perturbing the transition matrix of a web graph with a damping factor that spreads part of the rank. The...
Paolo Boldi
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
14 years 5 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
ICDE
2006
IEEE
192views Database» more  ICDE 2006»
14 years 6 months ago
Approximating Aggregation Queries in Peer-to-Peer Networks
Peer-to-peer databases are becoming prevalent on the Internet for distribution and sharing of documents, applications, and other digital media. The problem of answering large scal...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Va...