Adaptive Automata in Recommendation Systems
(Adaptive Automata in Recommendation Systems)
Sergio Donizetti Zorzo (firstname.lastname@example.org), Paulo Roberto Massa Cereda (email@example.com), Reginaldo Aparecido Gotardo (firstname.lastname@example.org)
Universidade Federal de São Carlos
This paper appears in: Revista IEEE América Latina
Publication Date: April 2011
Volume: 9, Issue: 2
The recommendation systems look for to offer customized products to their users. These systems identify the users preferences and the preferences of the rest of the community to the products available. This article presents a recommendation system that uses an adaptive automaton to store the relationship between resources and the users´ preferences and determine the possible recommendations customized to each of its users. The details of the implementation are presented and discussed. An experiment is presented for verification and analysis of the recommendations generated in the developed system.
Recommendation systems, Adaptive Automata, personalization.
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