Name	Desc	Author
Movie Recommender	Collaborative filtering for movie recommendations	@Gautam-flash

Movie-Recommender

A bad way to do things

This is a Movie Recommender based on the MovieLens dataset.

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This whole project is very heavy on the Memory as working with a lot of text data is expensive on the RAM.

Dataset:

• movies_metadata.csv
• credits.csv
• keywords.csv

Created dataset

• metadata-smaller.csv

Content:

This project contains two type of recommenders:

• Content Based Recommender (plot based)
• Collaborative Filtering (based on director, cast, genres, etc)

This is supposed to be a learning technique and not an end-to-end solution.

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Content Based Recommender:

Note how the recommendations are mostly related to Batman.

Collaborative Filtering:

Note that here the displayed movies are picked randomly from the list of top movies picked by the model to create more diversity.

More details are inside the notebook