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2009 International Conference on Advances in Social Network Analysis and Mining
Search Results Clustering Using Nonnegative Matrix Factorization (NMF)
Athens, Greece
July 20-July 22
ISBN: 978-0-7695-3689-7
| ASCII Text | x | ||
| Hussam Dahwa Abdulla, Martin Polovincak, Vaclav Snasel, "Search Results Clustering Using Nonnegative Matrix Factorization (NMF)," 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 320-323, 2009 International Conference on Advances in Social Network Analysis and Mining, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ASONAM.2009.58, author = {Hussam Dahwa Abdulla and Martin Polovincak and Vaclav Snasel}, title = {Search Results Clustering Using Nonnegative Matrix Factorization (NMF)}, journal ={2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining}, volume = {0}, year = {2009}, isbn = {978-0-7695-3689-7}, pages = {320-323}, doi = {http://doi.ieeecomputersociety.org/10.1109/ASONAM.2009.58}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining TI - Search Results Clustering Using Nonnegative Matrix Factorization (NMF) SN - 978-0-7695-3689-7 SP320 EP323 A1 - Hussam Dahwa Abdulla, A1 - Martin Polovincak, A1 - Vaclav Snasel, PY - 2009 KW - Search results clustering KW - Nonnegative Matrix Factorization (NMF) KW - Clustering Data VL - 0 JA - 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ER - | |||
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.
Index Terms:
Search results clustering, Nonnegative Matrix Factorization (NMF), Clustering Data
Citation:
Hussam Dahwa Abdulla, Martin Polovincak, Vaclav Snasel, "Search Results Clustering Using Nonnegative Matrix Factorization (NMF)," asonam, pp.320-323, 2009 International Conference on Advances in Social Network Analysis and Mining, 2009
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