Repo for my under undegratuate thesis work in colaboration with Neoway
You have to have texlive full, make and a pdf reader. In linux (debian dists) the following should work:
sudo apt-get install texlive-full make -y
make all
PDF at official UFSC repository here.
In this work we used a proof of concept to validate a pre-clustering strategy using firmographics data in order to improve the performance of Neoway's recommender system. The context of recommender systems is discussed, together with an introduction of the concept of clustering and principal component analysis. The terminology of the recommender system and its benchmark are explained, along with the internal blocks of the system. Clustering procedures are discussed and two experiments are proposed. The results showed a slight improvement on the performance of the system, but it is not enough to proceed with the further investing in the approach.
Keywords: Recommender Systems, Clustering, Principal Component Analysis.