Content-Based-Filtering-Model

This project implements a content-based filtering model for recommending movies. The model uses various features extracted from a dataset of the top 1000 movies from IMDb to compute similarities and recommend similar movies.

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License: mit
Language: Jupyter Notebook
Size: 195 KB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 3 months ago

Topics: content-based-recommendation, imdb-dataset, machine-learning, movies-rate, recommending

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GitHub / faisal-fida / Content-Based-Filtering-Model