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公开(公告)号:US11694018B2
公开(公告)日:2023-07-04
申请号:US17163162
申请日:2021-01-29
Applicant: salesforce.com, inc.
Inventor: Jessica Lundin , Owen Winne Schoppe , Xing Han , Michael Reynolds Sollami , Brian J. Lonsdorf , Alan Martin Ross , David J. Woodward , Sonke Rohde
IPC: G06F40/169 , G06F40/103 , G06N3/049 , G06T11/60 , G06F40/284
CPC classification number: G06F40/103 , G06F40/284 , G06N3/049 , G06T11/60
Abstract: An online system generates a set of content item variations for a reference content item that include different styles of text for the content item. The different styles of text are generated by applying machine-learned style transfer models, for example, neural network based models to reference text of the reference content item. The text variations retain the textual content of the reference text but are synthesized with different styles. The online system can provide the content item variations to users on an online experimental platform to collect user interaction information that may indicate how users respond to different styles of text. The online system or the content providers can effectively target users with content items that include the style of text the users respond to based on the collected information.
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公开(公告)号:US20220245322A1
公开(公告)日:2022-08-04
申请号:US17163162
申请日:2021-01-29
Applicant: salesforce.com, inc.
Inventor: Jessica Lundin , Owen Winne Schoppe , Xing Han , Michael Reynolds Sollami , Brian J. Lonsdorf , Alan Martin Ross , David J. Woodward , Sonke Rohde
IPC: G06F40/103 , G06F40/284 , G06T11/60 , G06N3/04
Abstract: An online system generates a set of content item variations for a reference content item that include different styles of text for the content item. The different styles of text are generated by applying machine-learned style transfer models, for example, neural network based models to reference text of the reference content item. The text variations retain the textual content of the reference text but are synthesized with different styles. The online system can provide the content item variations to users on an online experimental platform to collect user interaction information that may indicate how users respond to different styles of text. The online system or the content providers can effectively target users with content items that include the style of text the users respond to based on the collected information.
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