Stephanie Kaye Rogers
ABSTRACT
This talk presents Pinterest Related Pins, an item-to-item recommendation system that combines collaborative filtering with content-based ranking to drive a quarter of the total engagement on Pinterest. Signals derived from user curation, the activity of users organizing content, are highly effective when used in conjunction with content based ranking. This will be an in-depth dive into the end-to-end system of Related Pins, a real-world implementation of an item-to-item hybrid recommendation system.
Index Terms
- Item-to-item Recommendations at Pinterest
Recommendations
Item cold-start recommendations: learning local collective embeddings
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A Genre-Based Item-Item Collaborative Filtering: Facing the Cold-Start Problem
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