Design and Implementation of a Customer Personalised Recomender System

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor	Sànchez-Marrè, Miquel
dc.contributor.author	Gkatzioura, Anna
dc.date	2013-06
dc.identifier.citation	91209
dc.identifier.uri	http://hdl.handle.net/2099.1/18732
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica
dc.subject	Multivariate analysis
dc.subject	Recommendation systems
dc.subject	probabilistic topic models
dc.subject	Latent Dirichlet Allocation
dc.subject	case-based reasoning
dc.subject	market basket analysis
dc.subject	customer preference learning
dc.subject	Recommendation systems
dc.subject	Anàlisi multivariable
dc.title	Design and Implementation of a Customer Personalised Recomender System
dc.type	info:eu-repo/semantics/bachelorThesis
dc.description.abstract	[ANGLÈS] Market basket analysis is examined through the application of probabilistic topic models and case-based reasoning in order to provide more insight into customer buying habits and generate meaningful recommendations.