This paper serves as a companion or extension to the" Inside PageRank" paper by Bianchini
et al.[Bianchini et al. 03]. It is a comprehensive survey of all issues associated with …

A commercial Web page typically contains many information blocks. Apart from the main
content blocks, it usually has such blocks as navigation panels, copyright and privacy …

Web pages contain a combination of unique content and template material, which is present
across multiple pages and used primarily for formatting, navigation, and branding. We study …

Link Analysis has shown great potential in improving the performance of web search.
PageRank and HITS are two of the most popular algorithms. Most of the existing link …

Document clustering has many important applications in the area of data mining and
information retrieval. Many existing document clustering techniques use the “bag-of-words” …

We develop a novel framework for the page-level template detection problem. Our
framework is built on two main ideas. The first is theautomatic generation of training data for …

Unlike conventional data or text, Web pages typically contain a large amount of information
that is not part of the main contents of the pages, eg, banner ads, navigation bars, and …

We study the problem of mining the informative structure of a news Web site that consists of
thousands of hyperlinked documents. We define the informative structure of a news Web site …

To increase the commercial value and accessibility of pages, most content sites tend to
publish their pages with intrasite redundant information, such as navigation panels …

In this paper we introduce our method of Unsupervised Named Entity Recognition and
Disambiguation (UNERD) that we test on a recently digitized unlabeled corpus of French …