  With the dramatic increase in the number of websites on the internet, tagging
has become popular for finding related, personal and important documents. When
the potentially increasing internet markets are analyzed, Turkey, in which most
of the people use Turkish language on the internet, found to be exponentially
increasing. In this paper, a tag-based website recommendation method is
presented, where similarity measures are combined with semantic relationships
of tags. In order to evaluate the system, an experiment with 25 people from
Turkey is undertaken and participants are firstly asked to provide websites and
tags in Turkish and then they are asked to evaluate recommended websites.
