Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get Music Recommender Algorithm: A Machine Learning Approach

Mustafa Tuna B.Status: Offline
Mustafa Tuna B.
Preview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Mustafa Tuna, priced and ready to go.
Mustafa Tuna B.Status: Offline
Mustafa Tuna B.
Preview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Mustafa Tuna, priced and ready to go.

Project details

I deliver a production-ready Music Recommendation Engine designed to transform user engagement. Unlike generic scripts, my approach focuses on building robust Hybrid Models that combine Neural Collaborative Filtering with Content-Based analysis. This dual-layered strategy ensures hyper-personalized discovery while effectively solving the "cold start" problem for new users and tracks.

What sets this project apart is its focus on industrial-grade scalability and business-centric metrics. I deliver more than just a model; I provide a full-scale deployment pipeline. This includes automated feature extraction, rigorous hyperparameter tuning, and seamless API integration using FastAPI and Docker for cloud environments (AWS/GCP).

By prioritizing high-impact metrics such as Precision@K and Mean Reciprocal Rank (MRR), I ensure that every recommendation is mathematically optimized to increase platform retention. Whether you are a startup or an established streaming service, you will receive a clean, modular, and high-performance AI solution that is built to scale alongside your user base.
Machine Learning Tools
Microsoft Excel, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL
What's included
Service Tiers Starter
$20
Standard
$50
Advanced
$1,000
Delivery Time 3 days 15 days 30 days
Number of Revisions
5UnlimitedUnlimited
Number of Model Variations
1515
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
-
-
Source Code
-
-

Frequently asked questions

Mustafa Tuna B.Status: Offline

About Mustafa Tuna

Mustafa Tuna B.Status: Offline
Data Scientist Enthusiast, Statistics undergraduate student.
Eskisehir, Turkey - 6:47 pm local time
I basically describe myself as a statistics and machine learning enthusiast. I am currently continuing my education in the department of statistics, learning the theory behind artificial intelligence and machine learning, and I want to improve myself and gain experience in the data industry. Currently i am learning R programming and Python languages.

Steps for completing your project

After purchasing the project, send requirements so Mustafa Tuna can start the project.

Delivery time starts when Mustafa Tuna receives requirements from you.

Mustafa Tuna works on your project following the steps below.

Revisions may occur after the delivery date.

Requirements Analysis & Data Review.

I will review your dataset (interaction logs/metadata) and finalize the project goals to ensure the algorithm aligns with your business needs.

Data Preprocessing & Feature Engineering.

I will clean the data, handle missing values, and extract key features like genres and user behaviors to prepare the interaction matrix.

Review the work, release payment, and leave feedback to Mustafa Tuna.