The PHaSE project promotes healthier and more sustainable eating habits through the integration of recommender systems and conversational agents. It aims to enhance users' awareness and understanding of responsible eating by enabling them to explore the healthiness of recipes, identify more sustainable ingredient substitutes, and receive personalized advice.

PHaSE Project-Promoting Healthy and Sustainable Eating through Interactive and Explainable AI Methods

Musto C.;Rapp A.
;
Boratto L.
2025-01-01

Abstract

The PHaSE project promotes healthier and more sustainable eating habits through the integration of recommender systems and conversational agents. It aims to enhance users' awareness and understanding of responsible eating by enabling them to explore the healthiness of recipes, identify more sustainable ingredient substitutes, and receive personalized advice.
2025
33rd Conference on User Modeling, Adaptation and Personalization, UMAP 2025
New York
2025
UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization
Association for Computing Machinery, Inc
211
213
Behavior change; Conversational Agents; Recommender Systems
Musto C.; Rapp A.; Boratto L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2096017
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