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  ## Exploratory Data Analysis (EDA)
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  ### Sample Entry
 
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+ ## Risks and Bias
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+ The dataset inherits several biases from the original Food.com source:
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+ - **Regional bias**: Western and American cuisines dominate, leading to under-representation of other cuisines.
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+ - **Popularity bias**: Highly rated and frequently interacted recipes are over-represented, which may skew recommendation models.
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+ - **Nutritional estimation bias**: Nutrition values are approximate and may vary from real-world measurements.
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+ These biases may affect fairness and diversity in downstream models.
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+ ---
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+ ## Intended Uses and Limitations
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+ **Intended Uses**
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+ - Ingredient-based recipe recommendation research
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+ - Cold-start personalization and ranking model development
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+ - Educational and academic applications
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+ **Not Intended For**
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+ - Medical or nutritional decision-making
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+ - High-stakes personalization without bias mitigation
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+ - Commercial deployment without further validation
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+ ---
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  ## Exploratory Data Analysis (EDA)
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  ### Sample Entry