A Disease-driven Nutrition Recommender System based on a Multi-agent Architecture
| Autor: | Todor Ivascu, Adriana Dinis, Kristijan Cincar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
020206 networking & telecommunications Web Ontology Language 02 engineering and technology Ontology (information science) Recommender system computer.software_genre World Wide Web Intelligent agent Knowledge-based systems 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing InformationSystems_MISCELLANEOUS Architecture Agent architecture computer computer.programming_language |
| Zdroj: | WIMS |
| DOI: | 10.1145/3227609.3227685 |
| Popis: | This paper presents a disease-driven nutrition recommender system based on intelligent agents, a rule engine and ontology approach. As nutrition plays a key role in improving the quality of life of the chronic disease patients, we propose a recommender system based on a Multi-agent architecture. For this work we also developed a knowledge store based on owl ontology that contains the food information related to diseases, i.e. which food is recommended and which is supposed to be avoided for a specific disease. Using a rule engine the system evaluates meals/recipes based on users' preferences but also taking into account what is recommended and restricted according to the conditions that they suffer from. Only the meals/recipes that satisfy these two criteria are recommended. |
| Databáze: | OpenAIRE |
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