Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph

Irritable Bowel Syndrome (IBS) is a prevalent gastrointestinal disorder, particularly prevalent among the Turkish population. Those afflicted with this disease must adhere to a low FODMAP diet in conjunction with the use of pharmaceuticals. As with any dietary regimen, it is often challenging for individuals to adhere to dietary guidelines in their daily lives. In this study, a chatbot health assistant was developed with the objective of supporting individuals in maintaining a low FODMAP diet with ease. The chatbot is supported by a Knowledge Graph (KG). The foods that are suitable or unsuitable for the FODMAP diet, the food groups to which they belong, and the dishes that can be prepared with these foods have been integrated into a KG framework. The chatbot has been constructed on this KG and provides diet guidance services to individuals. The objective of the proposed question-answer system is to enhance user engagement by providing real-time assistance and personalized recommendations. It is currently available in Turkish and is limited to the context of the FODMAP diet.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10825345
Citations
3
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
2.34
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article

Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph

Sultan Turhan, Mustafa Berk Bacaksız
3 citations
Recommender Systems and Techniques
2.34
article

Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph

Sultan Turhan, Mustafa Berk Bacaksız
article en
3 citations

Abstract

Irritable Bowel Syndrome (IBS) is a prevalent gastrointestinal disorder, particularly prevalent among the Turkish population. Those afflicted with this disease must adhere to a low FODMAP diet in conjunction with the use of pharmaceuticals. As with any dietary regimen, it is often challenging for individuals to adhere to dietary guidelines in their daily lives. In this study, a chatbot health assistant was developed with the objective of supporting individuals in maintaining a low FODMAP diet with ease. The chatbot is supported by a Knowledge Graph (KG). The foods that are suitable or unsuitable for the FODMAP diet, the food groups to which they belong, and the dishes that can be prepared with these foods have been integrated into a KG framework. The chatbot has been constructed on this KG and provides diet guidance services to individuals. The objective of the proposed question-answer system is to enhance user engagement by providing real-time assistance and personalized recommendations. It is currently available in Turkish and is limited to the context of the FODMAP diet.

Galatasaray University (TR)
Zero hunger
Openalex Percentile: Top 8%
Recommender Systems and Techniques
2.34
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Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph — Sultan Turhan, Mustafa Berk Bacaksız · (2024) | TGRS Research Map | TGRS