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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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公开(公告)号:US10896049B2
公开(公告)日:2021-01-19
申请号:US16393017
申请日:2019-04-24
Applicant: salesforce.com, inc.
Inventor: Sönke Rohde , Brian J. Lonsdorf , Owen Winne Schoppe
IPC: G06F9/451 , G06F3/0481 , G06N20/00 , G06F8/20
Abstract: Techniques are disclosed relating to providing customized user interfaces to different groups of users. A computing system may determine a plurality of different design types for a user interface and cause display of user interfaces that exhibit the different design types to different users. Based on user interactions with the user interfaces, the system may generate one or more metrics. The system may and may determine attribute values for attributes of users who interact with the user interface. The system may perform one or more correlation procedures to correlate the attribute values with one or more of the metrics. In disclosed embodiments, the computing system generates groups of users based on the correlation. The computing system may assign at least one of the design types to at least one of the groups of users based on the correlation.
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公开(公告)号:US20180067976A1
公开(公告)日:2018-03-08
申请号:US15339522
申请日:2016-10-31
Applicant: salesforce.com, inc.
Inventor: Owen Winne Schoppe , Ian Schoen , Jesse Hausler
IPC: G06F17/30 , G06F3/0482 , G06F3/0484
CPC classification number: G06F16/252
Abstract: In an example, a database system may be configured to download to a user system an application configured to generate a data table from records stored in a data store, wherein the data table includes: a plurality of rows, wherein each row corresponds to at least one record of the records; and each row including a plurality of cells, each cell corresponding to a different grouping of data fields of its respective one(s) of the records; receive a communication from the application, the communication corresponding to at least one user input to a displayed cell of the data table; determine whether to feedback the at least one user input to the displayed cell of the data table to a corresponding data field of a corresponding record of the data store; and update the corresponding record in the data store based on a result of the determination.
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公开(公告)号:US11798210B2
公开(公告)日:2023-10-24
申请号:US17116944
申请日:2020-12-09
Applicant: salesforce.com, inc.
Inventor: Jessica Lundin , Michael Reynolds Sollami , Alan Martin Ross , Brian J. Lonsdorf , David James Woodward , Owen Winne Schoppe , Sönke Rohde
IPC: G06T11/60 , G06T7/70 , G06N3/08 , G06F18/214
CPC classification number: G06T11/60 , G06F18/214 , G06N3/08 , G06T7/70 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2210/12
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 a candidate image which may be an image or a video frame. The candidate image is then input into a neural network. The neural network may output coordinates and one or more dimensions representing one or more bounding boxes for inserting media content into the candidate image. The one or more bounding boxes may be transmitted with a request for a media content item to be displayed in a bounding box. In response to the request the media content item may be received, and the candidate image and the media content item overlaid on top of the candidate image within the bounding box may be displayed.
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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:US20230177269A1
公开(公告)日:2023-06-08
申请号:US17545168
申请日:2021-12-08
Applicant: salesforce.com, inc.
Inventor: Jessica Lundin , Sönke Rohde , Owen Winne Schoppe , Michael Sollami , David Woodward , Brian Lonsdorf , Alan Martin Ross , Scott Bokma
IPC: G06F40/289 , G06N20/00
CPC classification number: G06F40/289 , G06N20/00
Abstract: Systems, devices, and techniques are disclosed for conversation topic extraction. Text of a communication channel may be received. The text of the communication channel may be divided into conversation documents based on conversation threads of the communication channel. Phrases of the text of the conversation documents may be tokenizes. Topic phrases for the conversation documents may be determined by assigning importance scores to the tokenized phrases using unsupervised topic extraction. The topic phrases may be the tokenized phrases with the highest importance scores.
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公开(公告)号:US11481449B2
公开(公告)日:2022-10-25
申请号:US17096830
申请日:2020-11-12
Applicant: salesforce.com, inc.
Inventor: Brian J. Lonsdorf , Jessica Lundin , Owen Winne Schoppe , Sönke Rohde , Alan Ross , David James Woodward
IPC: G06F16/00 , G06F16/9035 , G06F16/904 , G06F16/9038 , G06F16/9535
Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred attribute type. An embodiment operates by maintaining user-presented attributes associated with user-presented records, wherein the user-presented attributes comprise one or more user-presented attribute types. After receiving a user-desired attribute of the user-presented attributes, a user-preferred attribute type of the user-presented attribute types is determined based on the user-presented attributes and the user-desired attribute. Thereafter, a new record and associated attribute are to be presented with the new attribute being of the user-preferred type.
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公开(公告)号:US11409416B2
公开(公告)日:2022-08-09
申请号:US16941176
申请日:2020-07-28
Applicant: salesforce.com, inc.
Inventor: David James Woodward , Brian J. Lonsdorf , Owen Winne Schoppe , Alan Martin Ross , Jessica Lundin , Sönke Rohde
IPC: G06F3/0484 , G06F9/451 , G06F3/0481 , G06N20/00 , G06N5/04
Abstract: Disclosed herein are system, method, and computer program product embodiments for generating custom user interfaces (UIs) for completing a task. One embodiment operates by obtaining contextual information associated with a user and an application on a user device operated by the user, where the application includes a plurality of UI elements. Then, determining the user is attempting to complete a first task within the application based on the contextual information and a prediction model. The embodiment further operates by obtaining a minimum set of UI elements required for the first task. Further, the embodiment operates by transmitting a first custom UI including the minimum set of UI elements for the first task to the user device for display to the user.
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公开(公告)号:US20210334666A1
公开(公告)日:2021-10-28
申请号:US16854913
申请日:2020-04-22
Applicant: salesforce.com, inc.
Inventor: Jessica Lundin , Owen Winne Schoppe , Alan Martin Ross , Brian J. Lonsdorf , David James Woodward , Sönke Rohde , Michael Reynolds Sollami , Chetan Ramaiah
IPC: G06N5/02 , G06N20/00 , G06F40/109 , G06F17/16
Abstract: A textual properties model is used to infer values for certain font properties of interest given certain text-related data, such as rendered text images. The model may be used for numerous purposes, such as aiding with document layout, identifying font families that are similar to a given font families, and generating new font families with specific desired properties. In some embodiments, the model is trained from a combination of synthetic data that is labeled with values for the font properties of interest, and partially-labeled data from existing “real-world” documents.
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