公开(公告)号：US12259895B1

公开(公告)日：2025-03-25

申请号：US18338124

申请日：2023-06-20

Applicant: Amazon Technologies, Inc.

Inventor： Yupin Huang

IPC: G06F16/2457 ,  G06F16/2455

Abstract: An improved search system can address sparse behavioral signals. Machine learning is used to determine queries with historical data that are similar to an input query, which have limited behavioral signals. Co-acquisitions of items for query pairs are used to generate a similarity value for the pairs, which are used as labels during training of machine learning models. Multiple machine learning models are used during inference such that a subset of similar queries is determined with a less computationally expensive model and a more computationally expensive model is used to re-rank the subset of queries. Accordingly, for input queries with limited behavioral data, the search system identifies similar queries with behavioral data and their corresponding search results can be presented to a user.