Information Retrieval Research at UFMG


  • Nivio Ziviani UFMG
  • Marcos André Gonçalves UFMG
  • Edleno Silva de Moura UFAM
  • Berthier Ribeiro-Neto UFMG
  • Altigran Soares da Silva UFAM
  • Adriano Veloso UFMG


Information retrieval, Classification, Web search engines, Recommender systems


This article summarizes Information Retrieval (IR) research conducted at the Universidade Federal de Minas Gerais (UFMG), over more than a quarter of a century.  The work of the UFMG IR group has covered some of the key areas in modern IR from crawling, indexing, compression and ranking methods to search engines and recommender systems. Further, its focus on addressing practical problems of relevance to society and on building prototypes to validate the proposed solutions has led to the spin-off of two key start-up companies in Brazil, one of them acquired by Google Inc. to become its R&D center for Latin America.


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