Towards a Residential Micro-Location Based Product and Service Recommender System

Mobile smartphone applications can be used to provide users with suitable location-based product or service recommendations. Recent developments of micro-location based recommender systems take the customers’ in-store location into account and try to provoke immediate purchases decisions in close proximity to the actual product. Furthermore, an increasing number of mobile retailing apps allow to make purchases online using the phone itself as the point-of-sale (POS) and thus making the existence of a physical POS obsolete. However, such online retailing applications do not leverage the customers’ micro location. As people spend most of their free time at home we will implement a micro-location based recommender system in the Smart Home context. We suggest a novel approach of mapping rooms in a customers’ apartment to departments in a retail store, thereby transferring the idea of in-store marketing to in-home marketing. As a result we construct an improved recommender system for (1) micro-location based in-home marketing and (2) interest-based marketing based on customers’ domestic room preferences.