2015-03-242014-08-22PASCOAL, L. M. L. Um método social-evolucionário para geração de rankings que apoiem a recomendação de eventos. 2014. 136 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2014.http://repositorio.bc.ufg.br/tede/handle/tede/4345With the development of web 2.0, social networks have achieved great space on the internet, with that many users provide information and interests about themselves. There are expert systems that make use of the user’s interests to recommend different products, these systems are known as Recommender Systems. One of the main techniques of a Recommender Systems is the Collaborative Filtering (User-based) which recommends products to users based on what other similar people liked in the past. Therefore, this work presents model approximation of functions that generates rankings, that through a Genetic Algorithm, is able to learn an approximation function composed by different social variables, customized for each Facebook user. The learned function must be able to reproduce a ranking of people (friends) originally created with user’s information, that apply some influence in the user’s decision. As a case study, this work discusses the context of events through information regarding the frequency of participation of some users at several distinct events. Two different approaches on learning and applying the approximation function have been developed. The first approach provides a general model that learns a function in advance and then applies it in a set of test data and the second approach presents an specialist model that learns a specific function for each test scenario. Two proposals for evaluating the ordering created by the learned function, called objective functions A and B, where the results for both objective functions show that it is possible to obtain good solutions with the generalist and the specialist approaches of the proposed method.application/octet-streamapplication/pdfAcesso AbertoSistemas de recomendaçãoFiltragem colaborativaModelo de aproximação de funçõesAlgoritmos genéticosRedes sociaisRecommender systemsCollaborative filteringModel approximation of functionsGenetic algorithmsSocial networksCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAODissertação