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COPYRIGHT 2024, EARS
EARS Environment Adaptive Recommendation System


EARS Environment Adaptive Recommendation System

 * HOMEPAGE
 * CONSORTIUM
 * DISSEMINATION
 * CONTACT



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

The EARS Concept Diagram
EARS Environment Adaptive Recommendation System

COPYRIGHT 2024, EARS CONTACT