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公开(公告)号：US20220222046A1
公开(公告)日：2022-07-14
申请号：US17354439
申请日：2021-06-22
Applicant: salesforce.com, inc.
Inventor： Owen Winne Schoppe , Sönke Rohde , Brian J. Lonsdorf , Jessica Lundin , David J. Woodward , Alan Martin Ross , Michael Sollami
Abstract: Techniques are disclosed relating to automatically synthesizing user interface (UI) component instances. In disclosed techniques a computer system receives a set of existing UI elements and a set of design rules for the set of existing elements, where design rules in the set of design rules indicate one or more allowed states for respective UI elements in the set of existing UI elements. The one or more allowed states may correspond to one or more visual characteristics. Using the set of existing UI elements, the computer system may then automatically generate a plurality of UI component instances based on the set of design rules, where a respective UI component instance includes a first UI element in a first allowed state. The computer system may then train, using the plurality of UI component instances, a machine learning model operable to automatically generate UI designs.
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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：US11695712B2
公开(公告)日：2023-07-04
申请号：US17392769
申请日：2021-08-03
Applicant: salesforce.com, inc.
Inventor： Owen Winnie Schoppe , David J. Woodward , Brian J. Lonsdorf
IPC: H04L51/02 , G06N20/00 , H04L51/222 , G06F3/0482
CPC classification number: H04L51/02 , G06N20/00 , H04L51/222 , G06F3/0482
Abstract: Disclosed is a system for managing content generated by bots for presentation to a user in association with a chat application. The system receives content items generated by bots monitoring a chat application for display to a user at a user interface (UI) of the chat application. The system provides input based on the received one or more content items and associated contextual information to a trained machine learning (ML) model, and receives, from the trained ML model, for each of the content items, at least one score value based on at least one predicted user response associated with potentially displaying the content item to the user at the UI. The system selects a subset of content items from the received content items based on the received score values and causes a display of this selected subset of content items in addition to a display of content generated by the chat application.
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公开(公告)号：US20230044499A1
公开(公告)日：2023-02-09
申请号：US17392769
申请日：2021-08-03
Applicant: salesforce.com, inc.
Inventor： Owen Winnie Schoppe , David J. Woodward , Brian J. Lonsdorf
Abstract: Disclosed is a system for managing content generated by bots for presentation to a user in association with a chat application. The system receives content items generated by bots monitoring a chat application for display to a user at a user interface (UI) of the chat application. The system provides input based on the received one or more content items and associated contextual information to a trained machine learning (ML) model, and receives, from the trained ML model, for each of the content items, at least one score value based on at least one predicted user response associated with potentially displaying the content item to the user at the UI. The system selects a subset of content items from the received content items based on the received score values and causes a display of this selected subset of content items in addition to a display of content generated by the chat application.
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5.发明公开公开(公告)号：US20230300091A1
公开(公告)日：2023-09-21
申请号：US18321667
申请日：2023-05-22
Applicant: salesforce.com, inc.
Inventor： Owen Winnie Schoppe , David J. Woodward , Brian J. Lonsdorf
IPC: H04L51/02 , G06N20/00 , H04L51/222
CPC classification number: H04L51/02 , G06N20/00 , H04L51/222 , G06F3/0482
Abstract: Disclosed is a system for managing content generated by bots for presentation to a user in association with a chat application. The system receives content items generated by bots monitoring a chat application for display to a user at a user interface (UI). The system provides input based on the received one or more content items and associated contextual information to a trained machine learning (ML) model, and receives, from the trained ML model, for each of the content items, at least one score value based on at least one predicted user response associated with potentially displaying the content item to the user at the UI. The system selects a subset of content items from the received content items based on the received score values and causes a display of this selected subset of content items in addition to a display of content generated by the chat application.
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Patent Agency Ranking
公开(公告)号：US11657511B2
公开(公告)日：2023-05-23
申请号：US17162245
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Alan Martin Ross , Jessica Lundin , Michael Reynolds Sollami , Brian J. Lonsdorf , David J. Woodward , Owen Winne Schoppe , Sonke Rohde
Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives an image which may be an image or a video frame. The image is processed using a number of image processing techniques in order to automatically propose spaces for inserting media content onto the image. The proposed spaces may then be further analyzed using a heuristics-based approach to select bounding boxes for inserting media content. Subsequently, one or more media content items may be selected for insertion onto the bounding boxes on the image. The system may then cause a display of the image with the selected media content item overlaid onto the image within the selected bounding boxes.
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公开(公告)号：US20220245820A1
公开(公告)日：2022-08-04
申请号：US17162245
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Alan Martin Ross , Jessica Lundin , Michael Reynolds Sollami , Brian J. Lonsdorf , David J. Woodward , Owen Winne Schoppe , Sonke Rohde
Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives an image which may be an image or a video frame. The image is processed using a number of image processing techniques in order to automatically propose spaces for inserting media content onto the image. The proposed spaces may then be further analyzed using a heuristics-based approach to select bounding boxes for inserting media content. Subsequently, one or more media content items may be selected for insertion onto the bounding boxes on the image. The system may then cause a display of the image with the selected media content item overlaid onto the image within the selected bounding boxes.
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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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公开(公告)号：US11379189B1
公开(公告)日：2022-07-05
申请号：US17354439
申请日：2021-06-22
Applicant: salesforce.com, inc.
Inventor： Owen Winne Schoppe , Sönke Rohde , Brian J. Lonsdorf , Jessica Lundin , David J. Woodward , Alan Martin Ross , Michael Sollami
Abstract: Techniques are disclosed relating to automatically synthesizing user interface (UI) component instances. In disclosed techniques a computer system receives a set of existing UI elements and a set of design rules for the set of existing elements, where design rules in the set of design rules indicate one or more allowed states for respective UI elements in the set of existing UI elements. The one or more allowed states may correspond to one or more visual characteristics. Using the set of existing UI elements, the computer system may then automatically generate a plurality of UI component instances based on the set of design rules, where a respective UI component instance includes a first UI element in a first allowed state. The computer system may then train, using the plurality of UI component instances, a machine learning model operable to automatically generate UI designs.
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公开(公告)号：US11074044B1
公开(公告)日：2021-07-27
申请号：US17147053
申请日：2021-01-12
Applicant: salesforce.com, inc.
Inventor： Owen Winne Schoppe , Sönke Rohde , Brian J. Lonsdorf , Jessica Lundin , David J. Woodward , Alan Martin Ross , Michael Sollami
Abstract: Techniques are disclosed relating to automatically synthesizing user interface (UI) component instances. In disclosed techniques a computer system receives a set of existing UI elements and a set of design rules for the set of existing elements, where design rules in the set of design rules indicate one or more allowed states for respective UI elements in the set of existing UI elements. The one or more allowed states may correspond to one or more visual characteristics. Using the set of existing UI elements, the computer system may then automatically generate a plurality of UI component instances based on the set of design rules, where a respective UI component instance includes a first UI element in a first allowed state. The computer system may then train, using the plurality of UI component instances, a machine learning model operable to automatically generate UI designs.
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