Movie_Recommend | based movie recommendation system , including crawler project

 by   LuckyZXL2016 Java Version: Current License: MIT

kandi X-RAY | Movie_Recommend Summary

kandi X-RAY | Movie_Recommend Summary

Movie_Recommend is a Java library typically used in Big Data, Nginx, Spark, Hadoop applications. Movie_Recommend has a Permissive License and it has medium support. However Movie_Recommend has 590 bugs, it has 5 vulnerabilities and it build file is not available. You can download it from GitHub.

Spark-based movie recommendation system, including crawler project, web site, background management system and spark recommendation system
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            kandi-support Support

              Movie_Recommend has a medium active ecosystem.
              It has 2446 star(s) with 1018 fork(s). There are 107 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 13 open issues and 5 have been closed. On average issues are closed in 65 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Movie_Recommend is current.

            kandi-Quality Quality

              Movie_Recommend has 590 bugs (0 blocker, 0 critical, 486 major, 104 minor) and 667 code smells.

            kandi-Security Security

              Movie_Recommend has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              OutlinedDot
              Movie_Recommend code analysis shows 5 unresolved vulnerabilities (5 blocker, 0 critical, 0 major, 0 minor).
              There are 13 security hotspots that need review.

            kandi-License License

              Movie_Recommend is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Movie_Recommend releases are not available. You will need to build from source code and install.
              Movie_Recommend has no build file. You will be need to create the build yourself to build the component from source.
              Movie_Recommend saves you 98870 person hours of effort in developing the same functionality from scratch.
              It has 106895 lines of code, 2435 functions and 809 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Movie_Recommend and discovered the below as its top functions. This is intended to give you an instant insight into Movie_Recommend implemented functionality, and help decide if they suit your requirements.
            • Render the first page .
            • Get a movie by id .
            • Delete user by id
            • Check data between two parameters .
            • login for admin
            • Login for user
            • Converts JSON data to POJO
            • get authentication info
            • Select similar movies by id .
            • Selects movies by userid
            Get all kandi verified functions for this library.

            Movie_Recommend Key Features

            No Key Features are available at this moment for Movie_Recommend.

            Movie_Recommend Examples and Code Snippets

            No Code Snippets are available at this moment for Movie_Recommend.

            Community Discussions

            QUESTION

            DoesNotExists Error with django and celery
            Asked 2020-Apr-01 at 18:54

            Following is a basic celery code

            ...

            ANSWER

            Answered 2018-Apr-01 at 19:07

            Are you using a real celery process? Or are your celery settings set to eager (as in, synchronous with your tests)? If you're using a real celery process, then it's likely that your objects are created in the test database, while celery's django instance is trying to access the real database.

            Try setting your settings to eager and see if it still acts the same.

            Source https://stackoverflow.com/questions/49594273

            QUESTION

            How to run a file in a separate directory? Bash
            Asked 2018-Apr-03 at 17:24

            Quick question, how do I run a file in another directory using a bash script?

            So far I have:

            ...

            ANSWER

            Answered 2018-Apr-03 at 08:56

            QUESTION

            C Makefile, Strange error with "No target" when a target is present
            Asked 2018-Apr-02 at 22:57

            So I have the makefile

            ...

            ANSWER

            Answered 2018-Apr-02 at 22:57

            The make program only looks in the current directory for your files. There is no movie_recommender.c file in the current directory, so make doesn't see it and doesn't find any way to make movie_recommender.o.

            The solution is to add make your makefile aware of the source and header directories, which you can do with the vpath directive. If you add

            Source https://stackoverflow.com/questions/49619752

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

            Vulnerabilities

            No vulnerabilities reported

            Install Movie_Recommend

            You can download it from GitHub.
            You can use Movie_Recommend 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 Movie_Recommend 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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            CLONE
          • HTTPS

            https://github.com/LuckyZXL2016/Movie_Recommend.git

          • CLI

            gh repo clone LuckyZXL2016/Movie_Recommend

          • sshUrl

            git@github.com:LuckyZXL2016/Movie_Recommend.git

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