Summary

The article discusses Zillow's innovative approach to personalization in the real estate market through AI-driven user memory. It emphasizes the importance of understanding user preferences and adapting to their evolving needs over time. The article outlines how Zillow combines batch and real-time data processing to create a dynamic user memory that enhances the home shopping experience. Key components include recency and frequency of user interactions, flexibility in preferences, and predictive modeling to anticipate user needs.

Data Problems Addressed