Desenvolvimento de um recomendador de livros com base em técnicas de mineração de dados

Abstract

Considering the large amount of data available today there is difficulty in finding relevant content. The recommendation systems meet this need, providing personalized recommendation of content, seeking to offer really useful information for each person. The main theme of the work is the implementation of a prototype recommendation system, called book recommendation, making use of data mining techniques such as clustering to define user groups. There are huge amount of books available as well as information about them. The prototype implements collaborative filtering based on user similarity, and was developed in the Python language, along with the Django development framework (sic).