Template detection via data mining and its applications

328 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Boilerplate detection using shallow text features (2010, background): “, frequently used segments or patterns/shingles on a website [3, 8, 9, 14, 24].”
Learning block importance models for web pages (2004, background): “The study of block importance model is mainly motivated by the urge to improve Web information retrieval performance, thus its direct application lies in the area [1][10].”
A Survey on PageRank Computing (2005, background): “For IR issues see [Baeza-Yates and Ribeiro-Neto, 1999].”
On the Bursty Evolution of Blogspace (2003, background): “Detecting templates in web pages is in itself an active area of research (see, for instance, [2]).”
Web data extraction based on partial tree alignment (2005, methodology): “The simple tree matching algorithm (B) N15 N16 N17 N18 N19 N20 N21 N12 N13 N14 N22 (C) M1-15 (D) W1-15 (E) M5-17 (F) W5-17 (G) M11-20 (H) W11-20 0 1 (N16) 2 (N16-N17) 0 0 0 0 1 (N2) 0 3 3 2 (N2-N3) 0 3 5 3 (N2-N4) 0 3 5 4 (N2-N5) 0 3 6 1 (N16) 2 (N17) 1 (N2) 3 0 2 (N3) 0 2 3 (N4) 2 0 4 (N5) 0”
Eliminating noisy information in Web pages for data mining (2003, methodology): “For the experiments, we implemented the template based method given in [2].”
VIPS: a Vision-based Page Segmentation Algorithm (2003, background): “Recently, Bar-Yossef [5] proposes the template detection problem and presents an easy”