Recommending Stores for Shopping Mall Customers with RecStore

Today mobility is a key feature in the new generation of Internet, which provides a set of custom services through numerous terminals. Smartphones, for example, are a tendency and almost mandatory for anyone living in an urban and modern context. Most developed cities have at least one shopping mall full of mobile device users. These shopping malls provide a number of stores, and people tend to have difficult in finding what they really need. This article proposes a solution called RecStore. RecStore is a recommendation model to assist customers in reaching what they consider relevant at malls. The recommendation model comprises user activities, 330 stores, 30 users and 3 baseline models. The precision, recall and f-measure improved at rates of 118%, 76% and 95% respectively in comparison to the second best model of each metric. Additionally, a mobile application — called InMap — was implemented based on our model RecStore.