Collaborative Filtering

Collaborative Filtering is a solution for making personalized recommendations based on user behavior patterns and preferences.

Key Capabilities Used

• Recommendation
• Pattern Discovery

Features

• User similarity analysis
• Item-based filtering
• Matrix factorization
• Preference learning
• Cold start handling

Use Cases

• Product recommendations
• Content suggestions
• Movie recommendations
• Music discovery
• Social connections

Technologies

• Matrix factorization
• Neural collaborative filtering
• Neighborhood methods
• Implicit feedback models
• Hybrid recommenders

Related Solutions

• Content-based Filtering

Tools

• Hybrid Recommendation Systems