Title :
Using Singular Value Decomposition (SVD) as a solution for search result clustering
Author :
Abdulla, Hussam Dahwa ; Snasel, Vaclav
Author_Institution :
Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava
Abstract :
There are many search engines in the web, but 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 Singular Value Decomposition (SVD) as a very good solution for search results clustering.
Keywords :
pattern clustering; search engines; singular value decomposition; Web users; search engines; search result clustering; singular value decomposition; Computational linguistics; Computer science; Data mining; Information analysis; Information filtering; Information retrieval; Machine learning; Matrix decomposition; Search engines; Singular value decomposition;
Conference_Titel :
Innovations in Information Technology, 2008. IIT 2008. International Conference on
Conference_Location :
Al Ain
Print_ISBN :
978-1-4244-3396-4
Electronic_ISBN :
978-1-4244-3397-1
DOI :
10.1109/INNOVATIONS.2008.4781642
