A recommender system is a powerful tool in machine learning, often used in e-commerce, streaming platforms, and social media. Below is a simple implementation using collaborative filtering with Python and scikit-surprise.
📋 Step-by-Step Code
1. Install Dependencies
pip install scikit-surprise
2. Load Dataset
from surprise import Dataset
data = Dataset.load_builtin('ml-100k') # Example dataset
3. Train Model
from surprise import KNNBasic
sim_options = {'name': 'cosine', 'user_based': True}
model = KNNBasic(sim_options=sim_options)
model.fit(data)
4. Make Predictions
from surprise import accuracy
predictions = model.test(data)
accuracy.rmse(predictions) # Evaluate performance