MusicRecommenderAPI

Music Recommender API which uses the NReco library for machine learning to recommend music.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Configuration

Introduction

MusicRecommenderAPI is designed to provide music recommendations using machine learning algorithms. It leverages the NReco library to analyze and predict user preferences.

Features

• Recommendation engine powered by NReco
• Easy to integrate with existing applications
• Scalable and performant

Installation

To install the MusicRecommenderAPI, follow these steps:

1. Clone the repository:

   git clone https://github.com/NicatQaraxanov/MusicRecommenderAPI.git
   cd MusicRecommenderAPI

2. Build the project:

   dotnet build

3. Run the application:

   dotnet run

Usage

To use the API, send requests to the endpoints provided. Here is an example of how to get music recommendations:

GET /api/Recommendations/123

Configuration

Configuration details for the MusicRecommenderAPI can be found in the appsettings.json file. Adjust the settings according to your environment and requirements.