Sensor Information Recommender System Start-Up Guide

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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2023
Accession Number
AD1200257

Entities

People

  • Michael D Lee
  • Tim Gregory

Organizations

  • United States Army Armament Research, Development and Engineering Center

Tags

Fields of Study

  • Computer science

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Database Systems and Applications
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.

Technology Areas

  • AI & ML