@MASTERSTHESIS\{IMM2013-06581, author = "J. Jarlskov", title = "Social smartphone app for personalized recommendation of local experiences", year = "2013", school = "Technical University of Denmark, {DTU} Compute, {E-}mail: compute@compute.dtu.dk", address = "Matematiktorvet, Building 303{-B,} {DK-}2800 Kgs. Lyngby, Denmark", type = "", note = "{DTU} supervisors: Michael Kai Petersen, mkai@dtu.dk, {DTU} Compute", url = "http://www.compute.dtu.dk/English.aspx", abstract = "The 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." }