Social smartphone app for personalized recommendation of local experiences |
Jesper Jarlskov
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| 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. |
| Type | Master's thesis [Academic thesis] |
| Year | 2013 |
| Publisher | Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk |
| Address | Matematiktorvet, Building 303-B, DK-2800 Kgs. Lyngby, Denmark |
| Series | M.Sc.-2013-43 |
| Note | DTU supervisors: Michael Kai Petersen, mkai@dtu.dk, DTU Compute |
| Electronic version(s) | [pdf] |
| Publication link | http://www.compute.dtu.dk/English.aspx |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |