MovieRecommend | movie recommender system based on Collaborative Filtering | Topic Modeling library

 by   abhowmick22 Java Version: Current License: No License

kandi X-RAY | MovieRecommend Summary

kandi X-RAY | MovieRecommend Summary

MovieRecommend is a Java library typically used in Manufacturing, Utilities, Machinery, Process, Artificial Intelligence, Topic Modeling applications. MovieRecommend has no bugs, it has no vulnerabilities and it has low support. However MovieRecommend build file is not available. You can download it from GitHub.

A movie recommender system based on Collaborative Filtering and Topic Modeling (LDA)
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            kandi-support Support

              MovieRecommend has a low active ecosystem.
              It has 5 star(s) with 9 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 2174 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MovieRecommend is current.

            kandi-Quality Quality

              MovieRecommend has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              MovieRecommend 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

              MovieRecommend releases are not available. You will need to build from source code and install.
              MovieRecommend has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MovieRecommend and discovered the below as its top functions. This is intended to give you an instant insight into MovieRecommend implemented functionality, and help decide if they suit your requirements.
            • Performs the estimate
            • Save model to a file
            • Method to perform sampling on a trn model
            • Save the most likely words
            • Model of a given corpus
            • Evaluate the n - th Gaussian point
            • Initialize the model
            • This method is used to update the gamma - sum of the sum of the accumulated gamma values
            • Initializes the tracer
            • Initialize the estimated model
            • Initialize and initialize variables
            • Initialize the trn model
            • Compute theta of the trn model
            • Compute phi for trn
            • Entry point for testing
            • Calculates the RSE of a set of users
            • Read a vector of ratings from a file
            • Returns the likelihood of a document
            • Dump the alpha to a file
            • Dump the beta data to a file
            • Writes the model to a file
            • Get the topic estimate vector for a movie
            • This method dumps the model to a file
            • Returns the top k words for each topic
            • Reads a model from a file
            • Get a list of words associated with a vocabulary
            Get all kandi verified functions for this library.

            MovieRecommend Key Features

            No Key Features are available at this moment for MovieRecommend.

            MovieRecommend Examples and Code Snippets

            No Code Snippets are available at this moment for MovieRecommend.

            Community Discussions

            QUESTION

            Type checking on user input Scala Spark
            Asked 2021-Feb-21 at 11:54

            I'm trying to do a type checking on an input that the user insert, but I don't know ho to do. My code is:

            ...

            ANSWER

            Answered 2021-Feb-21 at 11:23

            You can read the input as a string using scala.io.StdIn.readLine() then try to parse it to Int and use pattern matching to handle case for valid int and for error.

            Something like this :

            Source https://stackoverflow.com/questions/66301265

            QUESTION

            VSCode terminal shows incorrect python version and path, launching terminal from anaconda works perfectly
            Asked 2020-Feb-03 at 13:03

            I have been stuck on this one problem for hours now and believe I have tried everything outside of throwing my computer out of the window.

            I have a virtual environment set up on Anaconda using python version 3.7 and Django version 2.1. If I activate this virtual environment from Anaconda everything works smoothly.

            ...

            ANSWER

            Answered 2019-Feb-07 at 23:32

            I just ran into the same problem. Try switching out of the powershell terminal to the windows terminal. Then restart. It should restart with the anaconda terminal. If that does not work you could:

            First change the default terminal from within Visual Code to the CMD terminal instead of Powershell. Add the following code to a batch file.

            Source https://stackoverflow.com/questions/54582361

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

            Vulnerabilities

            No vulnerabilities reported

            Install MovieRecommend

            You can download it from GitHub.
            You can use MovieRecommend like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the MovieRecommend component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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/abhowmick22/MovieRecommend.git

          • CLI

            gh repo clone abhowmick22/MovieRecommend

          • sshUrl

            git@github.com:abhowmick22/MovieRecommend.git

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