393 search results - page 2 / 79 » Learning block importance models for web pages |
PKDD
2007
Springer
13 years 11 months ago
2007
Springer
Detection of template and noise blocks in web pages is an important step in improving the performance of information retrieval and content extraction. Of the many approaches propos...
DEXA
2006
Springer
13 years 6 months ago
2006
Springer
Classifying and mining noise-free web pages will improve on accuracy of search results as well as search speed, and may benefit webpage organization applications (e.g., keyword-bas...
MEDES
2009
ACM
13 years 9 months ago
2009
ACM
The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
An important class of searches on the world-wide-web has the goal to find an entry page (homepage) of an organisation. Entry page search is quite different from Ad Hoc search. Ind...
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...