Querying the Database to Generate Recommendations
Learn how to query the database to find movies with a specific genre and generate recommendations for users.
We'll cover the following
Application: Find movies matching a given query
To generate embeddings, we begin by importing the necessary libraries: numpy
, pandas
, torch
, transformers
, sklearn.metrics.pairwise
, nltk.tokenize
, nltk.corpus
, and nltk.stem
. These libraries are essential for data processing, deep learning, and similarity computation.
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