Querying the Database to Generate Recommendations

Learn how to query the database to find movies with a specific genre and generate recommendations for users.

Application: Find movies matching a given query

To generate embeddings, we begin by importing the necessary libraries: numpy, pandas, torch, transformers, sklearn.metrics.pairwisenltk.tokenizenltk.corpus, and nltk.stem. These libraries are essential for data processing, deep learning, and similarity computation.

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