  Recommendation systems are present in multiple contexts as e-commerce,
websites, and media streaming services. As scenarios get more complex,
techniques and tools have to consider a number of variables. When recommending
services/products to mobile users while they are in indoor environments next to
the object of the recommendation, variables as location, interests, route, and
interaction logs also need to be taken into account. In this context, this work
discusses the practical challenges inherent to the context of indoor mobile
recommendation (e.g., mall, parking lot, museum, among others) grounded on a
case and a systematic review. With the presented results, one expects to
support practitioners in the task of defining the proper approach, technology,
and notification method when recommending services/products to mobile users in
indoor environments.
