SOM as a means to extract visitors preference in a webpage clustering task

over the years by expansion of WWW we have reached to a point that achieving this goal, having more visitors, does not seem as simple as it used to be. As to address these complexity and to survive in the bloody battle of attracting and holding on to visitors, a significant amount of websites owners’ and researchers’ attentions has been drawn to data mining techniques. Among others, SOM used to tackle webpage clustering task is one of the areas under spotlight. Thus, this paper has used the data extracted from an Iranian website’s database to examine the capability of SOM in order to extract visitor preference. Additionally, this paper offers the process one should go through so as to extract appropriate data from a dataset, and which set of data are most suitable for this paper main purpose.

Keywords:

Self Organazing Map (SOM) , Webpage clustering , Visitors’ preference