Social smartphone app for personalized recommendation of local experiences

Jesper Jarlskov

AbstractThe goal of this thesis is to define the business model for a business helping people find the most relevant nightlife spots based on their personal preferences and social relationships. The business model is created using e effectuation, an adaptive iterative decision-making process which is used to improve business models based on direct involvement from customers and other stakeholders. The main output of the thesis is a business model, as well as the system design for an online recommender system, fulling the requirements of the business model. The system design is ready to be turned into a working prototype and, through an agile process involving the potential customers, a fully working platform.
TypeMaster's thesis [Academic thesis]
Year2013
PublisherTechnical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk
AddressMatematiktorvet, Building 303-B, DK-2800 Kgs. Lyngby, Denmark
SeriesM.Sc.-2013-43
NoteDTU supervisors: Michael Kai Petersen, mkai@dtu.dk, DTU Compute
Electronic version(s)[pdf]
Publication linkhttp://www.compute.dtu.dk/English.aspx
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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