公开(公告)号：US20150332313A1

公开(公告)日：2015-11-19

申请号：US14280137

申请日：2014-05-16

Applicant: Facebook. Inc.

Inventor： Daniel Slotwiner ,  Neha Bhargava ,  Eurry Kim ,  David Yong Joon Pio ,  Robert Andrew Creekmore ,  Omid Saadati ,  Tarun Kartikaye Sharma

IPC: G06Q30/02

CPC classification number: G06Q30/0242 ,  G06Q30/0241 ,  G06Q30/0245 ,  G06Q50/01

Abstract: An online system or third party system allows advertisers to evaluate and test ad creatives before the ad creatives are presented to users in an ad campaign. Based on a set of test ad creatives for which feature scores and objective scores are determined by content evaluators (e.g., users, content processing algorithms), a model is trained to determine objective scores for an ad creative based on feature scores of the ad creative. The trained model is applied to a target ad creative, which has yet to be or has been presented to users, to determine one or more objective scores for the target ad creative based on feature scores of the target ad creative. Feedback is presented to an advertiser associated with the target ad creative based on the objective scores determined for the target ad creative.

Abstract translation: 在线系统或第三方系统允许广告客户在将广告素材呈现给广告系列中的用户之前评估和测试广告素材。 基于由内容评估者（例如，用户，内容处理算法）确定功能分数和客观分数的一组测试广告素材，根据广告素材的功能分数对模型进行培训，以确定广告素材的客观评分 。 经过训练的模型将应用于尚未被呈现给用户的目标广告素材，以根据目标广告素材的功能分数确定目标广告素材的一个或多个客观分数。 根据为目标广告素材确定的客观分数，向目标广告素材提供反馈。

公开(公告)号：US11170288B2

公开(公告)日：2021-11-09

申请号：US15668391

申请日：2017-08-03

Applicant: Facebook, Inc.

Inventor： Alexander Peysakhovich ,  Michael Randolph Corey ,  Neha Bhargava ,  Hannah Siow Pavalow

IPC: G06N3/04 ,  G06Q30/02 ,  G06N20/00 ,  G06Q50/00

Abstract: Systems, methods, and non-transitory computer readable media can determine a representation of an advertisement based on a first machine learning model. The representation can be provided to a second machine learning model. One or more qualitative ratings associated with the advertisement can be determined based on the second machine learning model.

公开(公告)号：US20190042919A1

公开(公告)日：2019-02-07

申请号：US15668391

申请日：2017-08-03

Applicant: Facebook, Inc.

Inventor： Alexander Peysakhovich ,  Michael Randolph Corey ,  Neha Bhargava ,  Hannah Siow Pavalow

IPC: G06N3/04 ,  G06N99/00 ,  G06Q30/02

Abstract: Systems, methods, and non-transitory computer readable media can determine a representation of an advertisement based on a first machine learning model. The representation can be provided to a second machine learning model. One or more qualitative ratings associated with the advertisement can be determined based on the second machine learning model.