OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search

arXiv:2404.16260v1 Announce Type: cross
Abstract: 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 query embedding coupled with pin and product embeddings, leading to an improvement of $>8\%$ relevance, $>7\%$ engagement, and $>5\%$ ads CTR in Pinterest's production search system. The main contributors to these gains are improved content understanding, better multi-task learning, and real-time serving. We enrich our entity representations using diverse …

arxiv cs.ai cs.ir cs.lg embeddings pinterest search type