Survey: Tracking Movement Patterns for Location Based Recommendation
I want to inform you about my survey / experiment for GPS (Global Positioning System) driven recommendation in a Location Based Services (LBS) scenario.
This project is related to Location Based Services (LBS) – which attempt to provide services to users of mobile devices, based upon their current geographic location (e.g. details of special offers when someone is near to a particular shop). At present, such recommendations only take into account the current position of the user, and can often lead to unwanted and inappropriate recommendations because they are made independently of other contextual factors. Current PhD research aims to investigate whether recommendations can be improved by also using knowledge of users' past movement patterns. Specifically, it will investigate whether the (regular) geographical movement patterns of users can be used to influence and inform location-based recommendations. One of the fundamental issues here is to determine how regular users' movement patterns actually are. It is this aspect that the study seeks to investigate.
Please feel free to promote this survey / experiment in the appropriate places.
Kind regards and thank you very much
Steffen W. Schilke
Tracking Movement Patterns for Location Based Recommendation
Briefing document for potential participants in the experiment
Steffen W. Schilke School of Computing, Communications and Electronics University of Plymouth