Sensor Information Recommender System Start-Up Guide

Author(s):

Michael Lee and Tim Gregory

Abstract:

The Sensor Information Recommender System is a proof-of-concept application to test the effectiveness of a Reinforcement Learning algorithm for recommending the right information source that a military analyst could select at that moment. The system has various ways to disseminate the data to the user and provide feedback to the Recommender Server. This report describes a Sensor Information Recommender System comprising data sources, a Recommender Server, a Tactical Assault Kit Server, and Android Team Awareness Kit instances. This report describes the steps to deploy the components in a self-contained environment for testing and development.