Title :
Search Results Clustering Using Nonnegative Matrix Factorization (NMF)
Author :
Abdulla, Hussam Dahwa ; Polovincak, Martin ; Snasel, Vaclav
Author_Institution :
Dept. of Comput. Sci., VSB Tech. Univ. of Ostrava, Ostrava, Czech Republic
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 user; nonnegative matrix factorization; search engine; search result clustering; Computational linguistics; Computer science; Data analysis; Data mining; Information filtering; Information filters; Information retrieval; Search engines; Social network services; Text mining; Clustering Data; Nonnegative Matrix Factorization (NMF); Search results clustering;
Conference_Titel :
Social Network Analysis and Mining, 2009. ASONAM '09. International Conference on Advances in
Conference_Location :
Athens
Print_ISBN :
978-0-7695-3689-7
DOI :
10.1109/ASONAM.2009.58
