movielens_recommend | Movie recommendation system based on movielens

 by   Colaplusice Python Version: Current License: No License

kandi X-RAY | movielens_recommend Summary

kandi X-RAY | movielens_recommend Summary

movielens_recommend is a Python library. movielens_recommend has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Movie recommendation system based on movielens dataset
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            kandi-support Support

              movielens_recommend has a low active ecosystem.
              It has 20 star(s) with 5 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of movielens_recommend is current.

            kandi-Quality Quality

              movielens_recommend has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              movielens_recommend does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              movielens_recommend releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed movielens_recommend and discovered the below as its top functions. This is intended to give you an instant insight into movielens_recommend implemented functionality, and help decide if they suit your requirements.
            • Create an event loop
            • Fetch a given URL
            • Process all tasks in work_queue
            • Get results from a URL
            • Get a list of movie ids
            • Convert product ID to product name
            • Calculate recommendations for a given user
            • Compute the distance between the given username
            • Populate the user rating
            • Return random movie id
            • List item recommendations
            • Wrapper for pagination
            • Render a tag
            • Show the most viewed item
            • Displays the most mark
            • View of ohr
            • Show a hot movie
            • Register a new user
            • Populate the rate table
            • Post a movie
            • Return a list of movies
            • List movies by week
            • Show the latest movie
            Get all kandi verified functions for this library.

            movielens_recommend Key Features

            No Key Features are available at this moment for movielens_recommend.

            movielens_recommend Examples and Code Snippets

            No Code Snippets are available at this moment for movielens_recommend.

            Community Discussions

            No Community Discussions are available at this moment for movielens_recommend.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install movielens_recommend

            You can download it from GitHub.
            You can use movielens_recommend 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 .
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          • HTTPS

            https://github.com/Colaplusice/movielens_recommend.git

          • CLI

            gh repo clone Colaplusice/movielens_recommend

          • sshUrl

            git@github.com:Colaplusice/movielens_recommend.git

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