3 papers
cs.IR2026
PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest
Olafur Gudmundsson, Bo Zhao, Huayi Liao +15
In this paper, we propose a new solution for addressing the content cold-start problem in industry-scale search and recommender systems. Compared to prior approaches, we have made…
cs.IR2025
Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
Saeed Ebrahimi, Weijie Jiang, Jaewon Yang +3
Pinterest is a leading visual discovery platform where recommender systems (RecSys) are key to delivering relevant, engaging, and fresh content to our users. In this paper, we stud…
cs.IR2025
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
Weijie Jiang, Armando Ordorica, Jaewon Yang +3
User retention is a critical objective for online platforms like Pinterest, as it strengthens user loyalty and drives growth through repeated engagement. A key indicator of retenti…