Tutorial_MSRS | Tutorial for Multi-Stakeholder Recommender Systems

by irecsys Java Version: Current License: No License

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kandi X-RAY | Tutorial_MSRS Summary

Tutorial_MSRS is a Java library typically used in Institutions, Learning, Education applications. Tutorial_MSRS has no bugs, it has no vulnerabilities and it has low support. However Tutorial_MSRS build file is not available. You can download it from GitHub.

Recommender systems are able to produce a list of recommended items tailored to user preferences, while the end user is the only stakeholder in the system. However, there could be multiple stakeholders in several applications or domains, e.g., e-commerce, advertising, educations, dating, job seeking, and so forth. It is useful to produce the recommendations by balancing the needs of different stakeholders. This tutorial covers the introductions to multi-stakeholder recommender systems (MSRS), introduces multiple case studies, discusses the corresponding methods and challenges to develop MSRS. Particularly, a demo based on the MOEA framework will be given in the talk.

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Support

Tutorial_MSRS has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Tutorial_MSRS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Tutorial_MSRS is current.

Quality

Tutorial_MSRS has no bugs reported.

Security

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

License

Tutorial_MSRS does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Tutorial_MSRS releases are not available. You will need to build from source code and install.

Tutorial_MSRS has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Performs the objective function
Provide the ranking of the ratings
Run the benchmark
Maximize the solution
Provides the ranking of the ratings
Run the MSRS algorithm
Returns a new solution
Load ratings file
Load ratings instructions
Creates a new solution
Load expected expectations measurements
Load the expectations measurements
Load expectations from a file

Get all kandi verified functions for this library.

Tutorial_MSRS Key Features

No Key Features are available at this moment for Tutorial_MSRS.

Tutorial_MSRS Examples and Code Snippets

No Code Snippets are available at this moment for Tutorial_MSRS.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Tutorial_MSRS

You can download it from GitHub.
You can use Tutorial_MSRS 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 Tutorial_MSRS 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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