Towards the Implementation of a Push-Based Recommendation Architecture

Recommender systems play a key role for personalization. These systems help users when they need to choose among a variety of possible options, that may easily overwhelm them. In particular, in recent years, there has been increased interest in the development of recommender systems for mobile users. The so-called Context-Aware Recommender Systems (CARS) provide users with suitable suggestions by considering not only their preferences but also their specific context conditions.In this paper, we present our work in progress towards the development of a proof-of-concept implementation of a system architecture that can support the deployment of context-aware recommender systems for mobile users. We focus on scenarios where the recommendation process is not initiated by the user but by external entities that proactively trigger appropriate suggestions in different contexts.