The table below presents the comparison of machine learning models for food recommendation. This comparison is made using baseline models. The personalized system is compared to non personalized ones. The table shows that the personalized baseline models (prefixed by P-) outperform the non-personalized counterparts. On the other hand, the pFoodREQ model proposed by Yu et al. utilizing personal information such as dietary preferences and health guidelines to provide more accurate and personalized food information outperforms the baselines models.
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Comparison update
ORKG Comparisons have changed. We have added new features and improved the user interface. Comparisons might look slightly different, but the comparison data itself remains unchanged.