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Building Holiday Finds: How Pinterest Engineers Reimagined Gift Discovery
- Pinterest engineers tackled the challenge of helping users discover and save perfect gifts during the holiday season by addressing discovery overwhelm and fragmented wishlists.
- They aimed to create a streamlined gift discovery experience leveraging personalization infrastructure and introducing gift-specific optimizations.
- Key technical pillars included a personalization stack, dynamic UI framework, and a unified logging system to provide a seamless shopping journey.
- The solution involved adapting the existing recommendation system for gift optimization through candidate generation, ranking, and blending stages.
- A highlight was the autogenerated wishlist boards feature that reduced friction in gift discovery by automatically creating and populating shopping-focused boards.
- The UI implementation focused on crafting a unique shopping experience while maintaining familiarity, utilizing a dynamic hero header and a Structured Feed Framework.
- A tab ranking system was developed to balance discovery and personalization, and a logging system was implemented to measure and improve shopping innovation success.
- The launch of Holiday Finds showed improved engagement with wishlists, strong adoption among Gen Z users, and successful integration of curated gift guides globally.
- Future directions include evolving tab ranking, enhancing the shopping experience, and innovating across platforms to improve gift discovery algorithms and support complex interactions.
- The project demonstrated the adaptability of the Structured Feed Framework, effectiveness of the tab ranking strategy, and acceleration of development through the reuse of existing infrastructure.
- Pinterest engineers are enthusiastic about building on this foundation by exploring new ranking models, enhancing the shopping experience, and extending platform innovations.
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