GitHub - ayoubGL/Two-Tower-Recommender-system-Pytorch: This project focuses on implementing a Two-Tower model to extract embeddings for users and recipes. These embeddings are then utilised to retrieve the most relevant recipes for a given user based on cosine similarity. The dataset used in this implementation can be requested through here:

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Name		Name	Last commit message	Last commit date
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models		models
.DS_Store		.DS_Store
.gitignore		.gitignore
FoodRecommenderSystem.ipynb		FoodRecommenderSystem.ipynb
MF.png		MF.png
final_project.png		final_project.png

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This project focuses on implementing a Two-Tower model to extract embeddings for users and recipes. These embeddings are then utilised to retrieve the most relevant recipes for a given user based on cosine similarity. The dataset used in this implementation can be requested through here:

ayoubmajjodi.info/

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