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Web page multi-label classification for filtering content from the web

Электронный научный архив УРФУ

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Поле Значение
 
Заглавие Web page multi-label classification for filtering content from the web
 
Автор Hresko, Juraj
 
Тематика ИНФОРМАТИКА
ИНФОРМАЦИОННЫЙ ПОИСК В ИНТЕРНЕТЕ
ПОИСК ИНФОРМАЦИИ В ИНТЕРНЕТЕ
КОНФЕРЕНЦИИ
MULTI-LABEL CLASSIFICATION
WEB MINING
MACHINE LEARNING
CONTENT FILTERING
 
Описание In this paper, we describe a simple approach to filter unwanted web pages, according to their content. The result of this work is a demo of an application that is usable in realtime filtering and in non-real-time indexing of any given web pages. We describe a proposed technique step by step, while discussing possible alternative ways for each part. In the end we discuss the overall quality and proposed next steps that could lead to a fully usable business application.
 
Дата 2012-11-13T10:36:53Z
2012-11-13T10:36:53Z
2012
 
Тип Article
Journal article (info:eu-repo/semantics/article)
Published version (info:eu-repo/semantics/publishedVersion)
 
Идентификатор Hresko J. Web page multi-label classification for filtering content from the web / J. Hresko // VI Russian Summer School in Information Retrieval, August 6–10, 2012. Proceedings of the Sixth Russian Young Scientists Conference in Information Retrieval / B. Sokolov, P. Braslavski (Eds.). — Yaroslavl, 2012. — P. 16-23.
978-5-8397-0888-4
http://elar.urfu.ru/handle/10995/4557
 
Язык en
 
Связанные ресурсы RuSSIR 2012
 
Формат 142343 bytes
application/pdf