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DanielElliottUIUC/BookReccomenderProject

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THE PLAN:

Take the descriptions from Kaggle, build an embedding model(potentially only for learning), create embeddings on the descirptions, build method to get description from ISBN/Title, turn said description into embedding, compare, return recs.

Progress as of 2024/12/02: Found and cleaned dataset of books with descriptions

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A system to recommend new books to readers off of books they have already read

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