collaborative_filtering_recommender_system | Collaborative filtering algorithm to predict user

by alisaaalehi Jupyter Notebook Version: Current License: MIT

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kandi X-RAY | collaborative_filtering_recommender_system Summary

collaborative_filtering_recommender_system is a Jupyter Notebook library. collaborative_filtering_recommender_system has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Here I am sharing a python implementation of a collaborative filtering algorithm used to solve the Netflix problem. We have a bunch of users that we do not know anything about them except the ratings that they gave to some of the films in our list. We want to use just this information to predict their possible ratings to other movies in the list that they haven't rated so far.

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Support

collaborative_filtering_recommender_system has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

collaborative_filtering_recommender_system has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of collaborative_filtering_recommender_system is current.

Quality

collaborative_filtering_recommender_system has no bugs reported.

Security

collaborative_filtering_recommender_system has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

collaborative_filtering_recommender_system is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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collaborative_filtering_recommender_system releases are not available. You will need to build from source code and install.

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collaborative_filtering_recommender_system Key Features

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collaborative_filtering_recommender_system Examples and Code Snippets

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Vulnerabilities

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Install collaborative_filtering_recommender_system

You can download it from GitHub.

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