DocumentCode
3151836
Title
Search Results Clustering Using Nonnegative Matrix Factorization (NMF)
Author
Abdulla, Hussam Dahwa ; Snasel, Vaclav
Author_Institution
Dept. of Comput. Sci., VSB-Tech. Univ. of Ostrava, Ostrava, Czech Republic
fYear
2009
fDate
28-30 Dec. 2009
Firstpage
101
Lastpage
104
Abstract
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.
Keywords
matrix decomposition; pattern clustering; query processing; search engines; Web users; nonnegative matrix factorization; query; search engines; search results clustering; Computational linguistics; Computer science; Data analysis; Data mining; Image analysis; Information filtering; Information filters; Information retrieval; Search engines; Text mining; Clustering Data; Nonnegative Matrix Factorization (NMF); Search results clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental and Computer Science, 2009. ICECS '09. Second International Conference on
Conference_Location
Dubai
Print_ISBN
978-0-7695-3937-9
Electronic_ISBN
978-1-4244-5591-1
Type
conf
DOI
10.1109/ICECS.2009.22
Filename
5383545
Link To Document