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Idir Chibane

dblp:08/1322 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 70% Web and social media mining · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › text analysis › text segmentation
topic segmentation		 0.112007
A web page topic segmentation algorithm based on visual criteria and content layout · SIGIR 2007
Web and social media mining › web page analysis
web page segmentation		 0.112007
A web page topic segmentation algorithm based on visual criteria and content layout · SIGIR 2007
Information retrieval
web search		 0.112007
A web page topic segmentation algorithm based on visual criteria and content layout · SIGIR 2007
Information retrieval
retrieval evaluation		 0.012007
A web page topic segmentation algorithm based on visual criteria and content layout · SIGIR 2007

Methods — techniques the papers use, named apart from their topics

visual criteria · 0.1structural tag analysis · 0.1
YearPublicationVenuePosition
2007 A web page topic segmentation algorithm based on visual criteria and content layout
abstract
This paper presents experiments using an algorithm of web page topic segmentation that show significant precision improvement in the retrieval of documents issued from the Web track corpus of TREC 2001. Instead of processing the whole document, a web page is segmented into different semantic blocks according to visual criteria (such as horizontal lines, colors) and structural tags (such as headings ~ , paragraph ). We conclude that combining visual and content layout criteria gives the best results for increasing the precision: the ranking of the page is calculated for relevant segments of pages resulting from the segmentation algorithm.
Idir Chibane, Bich-Liên Doan
 SIGIR1