  In the recent years there has been an increase in scientific papers
publications in Albania and its neighboring countries that have large
communities of Albanian speaking researchers. Many of these papers are written
in Albanian. It is a very time consuming task to find papers related to the
researchers' work, because there is no concrete system that facilitates this
process. In this paper we present the design of a modular intelligent search
system for articles written in Albanian. The main part of it is the recommender
module that facilitates searching by providing relevant articles to the users
(in comparison with a given one). We used a cosine similarity based heuristics
that differentiates the importance of term frequencies based on their location
in the article. We did not notice big differences on the recommendation results
when using different combinations of the importance factors of the keywords,
title, abstract and body. We got similar results when using only the title and
abstract in comparison with the other combinations. Because we got fairly good
results in this initial approach, we believe that similar recommender systems
for documents written in Albanian can be build also in contexts not related to
scientific publishing.
