Semantic In-Domain Product Identification for Search Queries

arXiv:2404.09091v1 Announce Type: cross
Abstract: Accurate explicit and implicit product identification in search queries is critical for enhancing user experiences, especially at a company like Adobe which has over 50 products and covers queries across hundreds of tools. In this work, we present a novel approach to training a product classifier from user behavioral data. Our semantic model led to >25% relative improvement in CTR (click through rate) across the deployed surfaces; a >50% decrease in null rate; a 2x …

abstract adobe arxiv classifier cs.ai cs.cl cs.ir cs.lg domain identification novel product products queries search semantic tools training type work