公开(公告)号：US10572908B2

公开(公告)日：2020-02-25

申请号：US15397549

申请日：2017-01-03

Applicant: Facebook, Inc.

Inventor： Aditya Pradip Kulkarni ,  Avi Samuel Gavlovski ,  Zhurun Zhang

IPC: G06Q30/02

Abstract: An online system receives a set of creatives provided by a content provider, and presents one or more pseudo-assembled content items composed of the different combinations of the received creatives on a user interface to the content provider. A pseudo-assembled content item includes one or more creatives to be included in a final content item that are placed in their positions in the display interface, but the content item has not yet undergone assembly or creation. The positions of the creatives are defined by one or more placement rules provided by the content provider. The content provider can interact with the user interface to swap different creatives into the content item. The content provider can visually preview different content item candidates assembled from different permutations of creatives from the set of creatives of the content item before creating the final content item.

公开(公告)号：US20180040019A1

公开(公告)日：2018-02-08

申请号：US15227842

申请日：2016-08-03

Applicant: Facebook, Inc.

Inventor： Avi Samuel Gavlovski ,  Robert Kamil Boczek

IPC: G06Q30/02 ,  G06K9/18 ,  G06F17/30 ,  G06F3/0482

CPC classification number: G06Q30/0255 ,  G06F16/24578 ,  G06F16/9535 ,  G06K9/00624 ,  G06K9/4628 ,  G06K9/6271 ,  G06Q30/0269 ,  G06Q30/0273 ,  G06Q30/0277

Abstract: An online system provides feedback to a content provider creating a content item for a target audience. The feedback may include a score, recommendation, or error notification for a creative such as an image, video, or text to be included in the content item. The score indicates a likelihood that users of the online system will interact with the content item having the creative. Modifying the content item based on recommendations may result in a different score for the content item. The online system trains a machine learning model to generate the scores. The model learns which creatives are popular among particular audiences. The online system provides error notifications if the content item violates a rule. The online system can generate the content item even if there are rule violations. The feedback is displayed inline on a graphical user interface while the content provider is creating the content item.

公开(公告)号：US20180004847A1

公开(公告)日：2018-01-04

申请号：US15199386

申请日：2016-06-30

Applicant: Facebook, Inc.

Inventor： Aditya Pradip Kulkarni ,  Avi Samuel Gavlovski ,  Zhurun Zhang ,  George Xiangwen Zeng

IPC: G06F17/30 ,  G06N7/00 ,  G06N99/00

Abstract: An online system generates dynamically optimized sponsored content for a target user of the online system. Each sponsored content item comprises optimal creatives selected for a target user from a set of creatives provided by a content provider. Each type of creative (e.g. title, image, video, descriptive text), has a trained creative model to generate a prediction score for a creative of the same type based on the features of the creative and the characteristics of the target user. The prediction score of a creative indicates the likelihood that the target user will interact with a sponsored content item that includes that particular creative. The online system selects a creative for each type and assembles the selected creatives into a sponsored content item for the target user. For a different user, a different sponsored content item having different creatives chosen from the same set of creatives is generated.