Multiple objective optimization based dietary recommender system

dc.contributor.authorPerera, Y
dc.contributor.authorKarannagoda, R
dc.contributor.authorWeiman, D
dc.contributor.authorFernando, S
dc.contributor.editorPiyatilake, ITS
dc.contributor.editorThalagala, PD
dc.contributor.editorGanegoda, GU
dc.contributor.editorThanuja, ALARR
dc.contributor.editorDharmarathna, P
dc.date.accessioned2024-02-05T03:47:23Z
dc.date.available2024-02-05T03:47:23Z
dc.date.issued2023-12-07
dc.description.abstractIn contemporary society, the profound impact of an individual’s diet on their health underscores the critical importance of dietary choices in maintaining overall wellbeing. Amidst the challenges posed by modern, hectic lifestyles, the manual tracking of meals becomes a cumbersome task. This paper addresses this issue through the development of a comprehensive meal recommender system. The envisioned system aims to automatically analyze and offer a nutritional breakdown of meals, alleviating the burden on individuals to manually track their dietary intake. It goes beyond conventional solutions by providing personalized recommendations that not only satisfy daily nutritional requirements but also cater to user preferences and promote meal diversity. This research endeavors to contribute to the enhancement of customers’ overall well-being by leveraging the capabilities of an advanced recommendation system. The paper outlines the design and implementation of this system, highlighting its potential to revolutionize how individuals manage their diets in contemporary, fast-paced lifestyles.en_US
dc.identifier.conference8th International Conference in Information Technology Research 2023en_US
dc.identifier.departmentInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa.en_US
dc.identifier.emailyomal.18@itfac.mrt.ac.lken_US
dc.identifier.emailrukshan.18@itfac.mrt.ac.lken_US
dc.identifier.emaildion.18@itfac.mrt.ac.lken_US
dc.identifier.email0000-0002-2621-5291en_US
dc.identifier.facultyITen_US
dc.identifier.pgnospp. 1-6en_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.proceedingProceedings of the 8th International Conference in Information Technology Research 2023en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/22154
dc.identifier.year2023en_US
dc.language.isoenen_US
dc.publisherInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa.en_US
dc.subjectMultiple objective optimizationen_US
dc.subjectFood recommendation systemen_US
dc.subjectUser preferenceen_US
dc.subjectFood diversityen_US
dc.subjectNutritional scoreen_US
dc.subjectRecommender systemen_US
dc.titleMultiple objective optimization based dietary recommender systemen_US
dc.typeConference-Full-texten_US

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