movie-recommendation-system | movie recommendation system given by user data | Recommender System library

by lanxuezaipiao Java Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | movie-recommendation-system Summary

movie-recommendation-system is a Java library typically used in Artificial Intelligence, Recommender System applications. movie-recommendation-system has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However movie-recommendation-system build file is not available. You can download it from GitHub.

A movie recommendation system given by user data, movie data and social data… This is a movie recommendation system. The algorithm comes from paper "Social Filtering Using Social Relationship for Movie Recommendation", I just implement the idea in it and apply it in practice.The project is very small, if there are some wrong or some new ideas, do not hesitate to email me(lanxuezaipiao@163.com).

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movie-recommendation-system has a low active ecosystem.

It has 67 star(s) with 71 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

movie-recommendation-system has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of movie-recommendation-system is current.

Quality

movie-recommendation-system has 0 bugs and 0 code smells.

Security

movie-recommendation-system has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

movie-recommendation-system code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

movie-recommendation-system is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

It has 742 lines of code, 18 functions and 15 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Main program
Calculates the similarity of a user
Gets the possible shortest paths
Get user s id
Get movie s id by movie data
Write content to file
Read file by line
Calculates average ratings for rated movies
Get training set
Calculate an advanced user similarity
Returns the shortest path between two vertices
Gets user list
Get the best shortest path between two users
Creates a directed graph using the social information
Judge un rated movies
Predict un rated movies
Delete a file

Get all kandi verified functions for this library.

movie-recommendation-system Key Features

No Key Features are available at this moment for movie-recommendation-system.

movie-recommendation-system Examples and Code Snippets

No Code Snippets are available at this moment for movie-recommendation-system.

Community Discussions

Trending Discussions on movie-recommendation-system

Wrapping dplyr filter in function results in "Error: Result must have length 4803, not 3"

QUESTION

Wrapping dplyr filter in function results in "Error: Result must have length 4803, not 3"

Asked 2019-Nov-11 at 15:17

I'm learning R for data analysis and using this Kaggle dataset. Following the movie recommendation script works, but when I try to generalize a dplyr code by making it a function I get an error:

I've tried troubleshooting some. It looks like the code stops at the filter and mutate functions.

The following works and gives the expected output.

...

ANSWER

Answered 2019-Nov-11 at 15:16

The problem is that you cannot use character strings to identify variables inside filter and mutate. The easiest way to solve your problem is to use filter_at and mutate_at:

Source https://stackoverflow.com/questions/58803740

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

Vulnerabilities

No vulnerabilities reported

Install movie-recommendation-system

You can download it from GitHub.
You can use movie-recommendation-system 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-recommendation-system 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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