A word embedding based approach for focused web crawling using the recurrent neural network

Learning-based focused crawlers download relevant uniform resource locators (URLs) from the web for a specific topic. Several studies have used the term frequency-inverse document frequency (TF-IDF) weighted cosine vector as an input feature vector for learning algorithms. TF-IDF-based crawlers calc...

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Detalles Bibliográficos

Autores principales:	Joe Dhanith, P.R., Surendiran, B., Raja, S.P.
Formato:	Artículo
Lenguaje:	inglés
Publicado:	2021
Materias:	Web Crawlers Semantics Word Embeddings Adagrad Recurrent Network
Acceso en línea:	https://dialnet.unirioja.es/servlet/oaiart?codigo=9033433
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