Movie_Recommend | based movie recommendation system , including crawler project
kandi X-RAY | Movie_Recommend Summary
kandi X-RAY | Movie_Recommend Summary
Spark-based movie recommendation system, including crawler project, web site, background management system and spark recommendation system
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Top functions reviewed by kandi - BETA
- 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
Movie_Recommend Key Features
Movie_Recommend Examples and Code Snippets
Community Discussions
Trending Discussions on Movie_Recommend
QUESTION
Following is a basic celery code
...ANSWER
Answered 2018-Apr-01 at 19:07Are 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.
QUESTION
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 08:56You can easily use
QUESTION
So I have the makefile
...ANSWER
Answered 2018-Apr-02 at 22:57The 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
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Movie_Recommend
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 .
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