recommenders_engine_example_layout | example cross-platform movie recommendation application

by microsoft C# Version: Current License: MIT

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kandi X-RAY | recommenders_engine_example_layout Summary

recommenders_engine_example_layout is a C# library. recommenders_engine_example_layout has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Recommenders Engine Example Layout (REEL) is a cross-platform movie recommendation application that demonstrates the integration of example recommendation algorithms from Microsoft/Recommenders into an application workflow. The following sections will demonstrate how to locally build REEL. These sections will guide the reader into:. Currently, REEL runs Simple Algorithm for Recommendation (SAR) and LightGBM algorithms. The application is built using Xamarin.Forms, so it is supported on iOS, Android and Windows Desktop. The algorithms are trained on the MovieLens dataset.

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Support

recommenders_engine_example_layout has a low active ecosystem.

It has 90 star(s) with 29 fork(s). There are 32 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of recommenders_engine_example_layout is current.

Quality

recommenders_engine_example_layout has no bugs reported.

Security

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

License

recommenders_engine_example_layout is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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

Installation instructions are available. Examples and code snippets are not available.

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recommenders_engine_example_layout Key Features

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Vulnerabilities

No vulnerabilities reported

Install recommenders_engine_example_layout

At a high level, this project is composed of 3 main folders.
backend: where the Flask web service logic / deployment files are kept. This folder's README also contains instructions for setting up the backend and the database
data: where scripts for setting up the SQL database with the movielens dataset are kept
mobile: where the Xamarin.Forms cross platform application sits. This folder's README contains a high level tour of how the application is structured, as well as information about how to run the application
To get started running the mobile application, a few steps must be followed:.
Deploy a SAR model by running the SAR notebook
Deploy a LightGBM model by running the LightGBM notebook
Set up and deploy the backend to AKS
Set up and run the Xamarin.Forms application on your choice of Android, iOS, or UWP