Title :
Resource Recommendation Using Adaptive Automaton
Author :
Cereda, Paulo Roberto Massa ; Gotardo, Reginaldo Aparecido ; Zorzo, Sergio Donizetti
Author_Institution :
Comput. Sci. Dept., Fed. Univ. of Sao Carlos, Sao Carlos, Brazil
Abstract :
Recommender systems identify preferences of a certain user, as well as the rest of a community, related to the available resources, aiming at providing personalized resources to the users. This paper presents a recommender system using an adaptive automaton to analyze the existing relationships among resources and users, and determine the possible personalized recommendations. An experiment is presented in order to verify and analyze the generated recommendation on the developed system.
Keywords :
recommender systems; adaptive automaton; personalized recommendation; recommender systems; Adaptive systems; Automata; Automation; Collaboration; Data analysis; Data mining; Information filtering; Information filters; Internet; Recommender systems;
Conference_Titel :
Systems, Signals and Image Processing, 2009. IWSSIP 2009. 16th International Conference on
Conference_Location :
Chalkida
Print_ISBN :
978-1-4244-4530-1
Electronic_ISBN :
978-1-4244-4530-1
DOI :
10.1109/IWSSIP.2009.5367803
