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One model to rule them all: unified classification model for geotagging websites

Электронный научный архив УРФУ

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Поле Значение
 
Заглавие One model to rule them all: unified classification model for geotagging websites
 
Автор Volkov, Alexey
Serdyukov, Pavel
Maslov, Michael
 
Тематика ИНФОРМАТИКА
ИНФОРМАЦИОННЫЙ ПОИСК В ИНТЕРНЕТЕ
ПОИСК ИНФОРМАЦИИ В ИНТЕРНЕТЕ
КОНФЕРЕНЦИИ
GEOTAGGING
CLASSIFICATION MODELS
ENTITIES
MACHINE LEARNING
 
Описание The paper presents a novel approach to finding regional scopes (geotagging) of websites. It relies on a single binary classification model per region type to perform the multi-label classification and uses a variety of different features that have not been yet used together for machine-learning based regional classification of websites. The evaluation demonstrates the advantage of our one model per region type method versus the traditional one model per region approach.
 
Дата 2012-11-13T11:18:42Z
2012-11-13T11:18:42Z
2012
 
Тип Article
Journal article (info:eu-repo/semantics/article)
Published version (info:eu-repo/semantics/publishedVersion)
 
Идентификатор Volkov A. One model to rule them all: unified classification model for geotagging websites / A. Volkov, P. Serdyukov, M. Maslov // 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. 45-57.
978-5-8397-0888-4
http://elar.urfu.ru/handle/10995/4560
 
Язык en
 
Связанные ресурсы RuSSIR 2012
 
Формат 246241 bytes
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