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SIGIR
2011
ACM
7 years 11 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
IFIP12
2009
8 years 6 months ago
Revealing Paths of Relevant Information in Web Graphs
In this paper we propose a web search methodology based on the Ant Colony Optimization (ACO) algorithm, which aims to enhance the amount of the relevant information in respect to a...
Georgios Kouzas, Vassilis Kolias, Ioannis Anagnost...
ICIW
2009
IEEE
8 years 6 months ago
Using Propagation of Distrust to Find Untrustworthy Web Neighborhoods
Web spamming, the practice of introducing artificial text and links into web pages to affect the results of searches, has been recognized as a major problem for search engines. Bu...
Panagiotis Takis Metaxas
SOCIALCOM
2010
8 years 6 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
ML
2010
ACM
142views Machine Learning» more  ML 2010»
8 years 6 months ago
Graph regularization methods for Web spam detection
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as wel...
Jacob Abernethy, Olivier Chapelle, Carlos Castillo
CN
2002
78views more  CN 2002»
8 years 8 months ago
A stochastic model for the evolution of the Web
Recently several authors have proposed stochastic models of the growth of the Web graph that give rise to power-law distributions. These models are based on the notion of preferen...
Mark Levene, Trevor I. Fenner, George Loizou, Rich...
CIB
2005
125views more  CIB 2005»
8 years 8 months ago
An On-Line Web Visualization System with Filtering and Clustering Graph
A Web graph refers to the graph that is used to represent relationships between Web pages in cyberspace, where a node represents a URL and an edge indicates a link between two URLs...
Wei Lai, Xiaodi Huang, Ronald Wibowo, Jiro Tanaka
IJMMS
2007
166views more  IJMMS 2007»
8 years 8 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...
IM
2006
8 years 8 months ago
Using PageRank to Characterize Web Structure
Recent work on modeling the web graph has dwelt on capturing the degree distributions observed on the web. Pointing out that this represents a heavy reliance on "local" p...
Gopal Pandurangan, Prabhakar Raghavan, Eli Upfal
DM
2008
81views more  DM 2008»
8 years 8 months ago
The diameter of protean graphs
Abstract. The web graph is a real-world self-organizing network whose vertices correspond to web pages, and whose edges correspond to links between pages. Many stochastic models fo...
Pawel Pralat
books