%0 Journal Article
	%A M. Olmedilla and  M. R. Martinez-Torres and  S. L. Toral
	%D 2015
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 102, 2015
	%T A Long Tail Study of eWOM Communities
	%U https://publications.waset.org/pdf/10001032
	%V 102
	%X Electronic Word-Of-Mouth (eWOM) communities
represent today an important source of information in which more
and more customers base their purchasing decisions. They include
thousands of reviews concerning very different products and services
posted by many individuals geographically distributed all over the
world. Due to their massive audience, eWOM communities can help
users to find the product they are looking for even if they are less
popular or rare. This is known as the long tail effect, which leads to a
larger number of lower-selling niche products. This paper analyzes
the long tail effect in a well-known eWOM community and defines a
tool for finding niche products unavailable through conventional

	%P 1378 - 1382