Clustering-based searching and navigation in an online news source

Author	dc.contributor.author	Smith, Simón C.
Author	dc.contributor.author	Rodríguez, Andrea	es_CL
Admission date	dc.date.accessioned	2009-06-18T17:11:32Z
Available date	dc.date.available	2009-06-18T17:11:32Z
Publication date	dc.date.issued	2006
Cita de ítem	dc.identifier.citation	ADVANCES IN INFORMATION RETRIEVAL Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 3936 Pages: 143-154 Published: 2006	en
Identifier	dc.identifier.issn	0302-9743
Identifier	dc.identifier.uri	https://repositorio.uchile.cl/handle/2250/124991
Abstract	dc.description.abstract	The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm for topic detection that considers the temporal evolution of news and the structure of web documents. Then, it uses the results of the topic detection algorithm for searching and navigating in an online news source. An experimental evaluation with a collection of online news in Spanish indicates the advantages of incorporating the temporal aspect and structure of documents in the topic detection of news. In addition, topic-based clusters are well suited for guiding the search and navigation of news.	en
Lenguage	dc.language.iso	en	en
Publisher	dc.publisher	SPRINGER-VERLAG BERLIN	en
Título	dc.title	Clustering-based searching and navigation in an online news source	en
Document type	dc.type	Artículo de revista