Collaborative-Filtering-recommendation | 电影评估推荐系统

by LunaBlack Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Collaborative-Filtering-recommendation Summary

Collaborative-Filtering-recommendation is a Python library. Collaborative-Filtering-recommendation has no bugs, it has no vulnerabilities and it has low support. However Collaborative-Filtering-recommendation build file is not available. You can download it from GitHub.

电影评估推荐系统

Support

Quality

Security

License

Reuse

Support

Collaborative-Filtering-recommendation has a low active ecosystem.

It has 16 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Collaborative-Filtering-recommendation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Collaborative-Filtering-recommendation is current.

Quality

Collaborative-Filtering-recommendation has 0 bugs and 0 code smells.

Security

Collaborative-Filtering-recommendation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Collaborative-Filtering-recommendation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Collaborative-Filtering-recommendation does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Collaborative-Filtering-recommendation releases are not available. You will need to build from source code and install.

Collaborative-Filtering-recommendation has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Collaborative-Filtering-recommendation and discovered the below as its top functions. This is intended to give you an instant insight into Collaborative-Filtering-recommendation implemented functionality, and help decide if they suit your requirements.

Average 10 times
Calculate the average rating
Calculates the mean movie rating
Calculate movie rating
Get a list of k nearest neighbors
Given a list of movieRatings find the most common common users
Computes the similarity between two movies
Returns a list of k nearest neighbors with k nearest neighbors
Compute the similarity between two users
Find the most common movie in a list
Find k nearest neighbors
Calculates the CBMM rating
Compute the mean rating of a user
Function for CFMM rating prediction

Get all kandi verified functions for this library.

Collaborative-Filtering-recommendation Key Features

No Key Features are available at this moment for Collaborative-Filtering-recommendation.

Collaborative-Filtering-recommendation Examples and Code Snippets

No Code Snippets are available at this moment for Collaborative-Filtering-recommendation.

Community Discussions

No Community Discussions are available at this moment for Collaborative-Filtering-recommendation.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Collaborative-Filtering-recommendation

You can download it from GitHub.
You can use Collaborative-Filtering-recommendation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: