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AI-Powered Personalized Shopping Assistant (25AI120)
The AI-Powered Personalized Shopping Assistant customizes e-commerce catalogs based on user clicks, historical views, and budget constraints.
Why Build This System?
- Improves store checkout conversion metrics
- Personalizes retail user profiles
Key Features
- Collaborative behavior data filters
- Automated alternative product grouping
System Basics
The system analyzes clickstream logs and item similarity rankings to dynamically update user storefronts with high-interest products.
Code Snippet:
# Basic profile matching filter logic
user_tags = ["shoes", "sport"]
item_tags = "running shoes"
print("Recommend:", "shoes" in item_tags)Learning Outcomes:
- Master advanced data recommendation filters
- Build modern retail web applications