Movie Recommendation

Content Based

Client

Personal

Timeline

1 week

Services

Recommendation system

Client

This repository contains a movie recommendation system that suggests movies to users based on their preferences. The system uses content-based filtering techniques to provide recommedation on the basis of keywords,title, genre etc. If the keywords,title, genre etc of one movie correspond with another movie then only it will suggest other movies that are similiar .

This repository contains a movie recommendation system that suggests movies to users based on their preferences. The system uses content-based filtering techniques to provide recommedation on the basis of keywords,title, genre etc. If the keywords,title, genre etc of one movie correspond with another movie then only it will suggest other movies that are similiar .

This repository contains a movie recommendation system that suggests movies to users based on their preferences. The system uses content-based filtering techniques to provide recommedation on the basis of keywords,title, genre etc. If the keywords,title, genre etc of one movie correspond with another movie then only it will suggest other movies that are similiar .

Challenge

To get the all kind of data in properly from different datasets and use it for recommendation and to make function to show datasets properly .

Goal

To get movie based on user prefences , old data

Result

Recommendation system which use cosine similarity on the vectorization to get movies similar to another.

"He who has a why to live can bear almost any how."

-Friedrich Nietzsche 

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"He who has a why to live can bear almost any how."

-Friedrich Nietzsche 

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"He who has a why to live can bear almost any how."

-Friedrich Nietzsche 

  • Let's Talk

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    Let's Talk

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    Let's Talk

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