公开(公告)号：US11004135B1

公开(公告)日：2021-05-11

申请号：US15681109

申请日：2017-08-18

Applicant: Amazon Technologies, Inc.

Inventor： Samuel Theodore Sandler ,  Karthik Mohan

IPC: G06Q30/06 ,  G06N3/08 ,  G06N3/04

Abstract: The present disclosure is directed to training, and providing recommendations via, a machine learning model architected to balance relevance and diversity of sets of recommendations. For example, a neural network can be provided with user profile features and can output probabilities for each of a number of recommendations. This can be converted into a ranked list of recommendations. The ranked list of recommendations is provided to a diversity model that maximizes an optimization objective having a first objective that quantifies relevance of a recommendation and a second objective that measures diversity of a set of recommendations. The output of the diversity model is a set of recommendations that have both high relevance and high diversity.