EARS

The EARS (Environment Adaptive Recommendation System) project aims to revolutionize the way recommendation systems are developed and utilized across various domains. The primary objective is to create an ecosystem that brings together all parties in the value chain, including businesses, algorithm developers, solution providers, service providers, and recommendation systems, to enhance their capabilities and enable them to collaborate effectively.

Key Objectives

* Enhancing Recommendation Accuracy: By leveraging federated learning and hybrid solutions, the EARS project seeks to improve the accuracy of recommendation systems while ensuring user privacy and data security.

* Fostering Collaboration: The project aims to create a collaborative platform that allows different stakeholders to contribute and benefit from shared technological advancements and innovations.

* Improving User Experience: Providing more relevant, personalized suggestions to users, along with transparent explanations for recommendations, to build trust and engagement.

* Adapting to Multiple Domains: The EARS platform is designed to be versatile, catering to various sectors such as e-commerce, e-health, media.

EARS (Environment Adaptive Recommendation System)
Program	ITEA Call 2021
Project Coordinator	ARD Group Information Technologies
Project No.	21017
Start Date	01 January 2023
End Date	30 September 2026
Challenge	Smart Communities
ITEA Web Page	https://itea4.org/project/ears.html