Search Result Clustering using a Singular Value Decomposition (SVD)

Autor:	Vaclav Snasel, Hussam M. Dahwa Abdulla
Rok vydání:	2009
Předmět:	Mathematical optimization Search engine K-SVD Computer science Singular value decomposition Data mining computer.software_genre Cluster analysis computer
Zdroj:	Proceedings of the First International Conference on Intelligent Human Computer Interaction ISBN: 9788184894042 IHCI
DOI:	10.1007/978-81-8489-203-1_33
Popis:	There are many search engines in the web, but they return along list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results. In this paper we present usage of Singular Value Decomposition (SVD) as a very good solution for search results clustering.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4a833b2e17a1748fd0e335239bc59a8a https://doi.org/10.1007/978-81-8489-203-1_33 Zobrazit plný text záznamu