6 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features
Sujay Khandagale, Bhawna Juneja, Prabhat Agarwal +3
Modern search systems use a multi-stage architecture to deliver personalized results efficiently. Key stages include retrieval, pre-ranking, full ranking, and blending, which refin…
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems
Pedro Silva, Bhawna Juneja, Shloka Desai +2
As the use of online platforms continues to grow across all demographics, users often express a desire to feel represented in the content. To improve representation in search resul…