7 citations · 7 across the 2 of their papers we have counts for
3 papers
Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search
Han Wang, Alex Whitworth, Pak Ming Cheung +5
Relevance evaluation plays a crucial role in personalized search systems, serving as a guardrail alongside user engagement metrics to ensure that search results align with user que…
Improving Pinterest Search Relevance Using Large Language Models
Han Wang, Mukuntha Narayanan Sundararaman, Onur Gungor +5
To improve relevance scoring on Pinterest Search, we integrate Large Language Models (LLMs) into our search relevance model, leveraging carefully designed text representations to p…
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
Prabhat Agarwal, Minhazul Islam Sk, Nikil Pancha +3
In this paper, we present OmniSearchSage, a versatile and scalable system for understanding search queries, pins, and products for Pinterest search. We jointly learn a unified quer…