45 search results - page 2 / 9 » Using a Layered Markov Model for Distributed Web Ranking Com... |
WWW
2011
ACM
12 years 12 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
We propose a General Markov Framework for computing page importance. Under the framework, a Markov Skeleton Process is used to model the random walk conducted by the web surfer on...
CSDA
2011
12 years 12 months ago
2011
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
ITA
2006
13 years 4 months ago
2006
PageRank is a ranking method that assigns scores to web pages using the limit distribution of a random walk on the web graph. A fibration of graphs is a morphism that is a local i...
ICCSA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...