Search Results Clustering Using Nonnegative Matrix Factorization (NMF)

Autor:	Vaclav Snasel, Hussam M. Dahwa Abdulla
Rok vydání:	2009
Předmět:	Pattern clustering Search engine Information retrieval Encoding (memory) Data mining computer.software_genre Cluster analysis computer Matrix decomposition Mathematics Non-negative matrix factorization
Zdroj:	ICECS
DOI:	10.1109/icecs.2009.22
Popis:	There are many search engines in the web and when asked, they return a long 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 how usage of Nonnegative Matrix Factorization (NMF) can be good solution for the search results clustering.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e3a68b5cf4d72d3677fc92fbe8991f2d https://doi.org/10.1109/icecs.2009.22 Zobrazit plný text záznamu