54 search results - page 4 / 11 » Predictive Random Graph Ranking on the Web |
PAKDD
2010
ACM
13 years 10 months ago
2010
ACM
We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weig...
PODS
2006
ACM
14 years 5 months ago
2006
ACM
The link structure of the Web can be viewed as a massive graph. The preferential attachment model and its variants are well-known random graph models that help explain the evoluti...
IM
2007
13 years 5 months ago
2007
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of Web page visits by a random surfer and thus it r...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
We introduce a unified graph representation of the Web, which includes both structural and usage information. We model this graph using a simple union of the Web's hyperlink ...
WAW
2004
Springer
13 years 11 months ago
2004
Springer
d Abstract) Paolo Boldi† Massimo Santini‡ Sebastiano Vigna∗ Deciding which kind of visit accumulates high-quality pages more quickly is one of the most often debated issue i...