Modelling User Preferences with Multi-Instance Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{Zafra:2008:IPMU,

• author = "Amelia Zafra and Sebastian Ventura",
• title = "Modelling User Preferences with Multi-Instance Genetic Programming",
• booktitle = "Information processing and Management of Uncertainty in Knowledge based systems, IPMU 20018",
• year = "2008",
• editor = "Luis Magdalena and Jose Luis Verdegay",
• address = "Malaga, Spain",
• month = jun # " 22-27",
• keywords = "genetic algorithms, genetic programming, user modelling, recommender systems, multi-instance learning, multi- objective algorithms",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.473.4886",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.4886",
• URL = "http://www.gimac.uma.es/ipmu08/proceedings/papers/148-zafraventura.pdf",
• URL = "http://www.gimac.uma.es/ipmu08/proceedings/html/148.html",
• abstract = "In this paper we introduce a novel model for providing users with recommendations about web index pages of their interests. The approach proposed developes user profiles based on evolutionary multi instance learning which determines what users find interesting and uninteresting by means of rules which add comprehensibility and clarity to user models and increase the quality of the recommendations. Experimental results show that our methodology achieves competitive results, providing high-quality user models which improve the accuracy of recommendations.",
• notes = "http://www.gimac.uma.es/ipmu08/",

}

Genetic Programming entries for Amelia Zafra Gomez Sebastian Ventura

Citations