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公开(公告)号：US10943257B2
公开(公告)日：2021-03-09
申请号：US16867321
申请日：2020-05-05
Applicant: Adobe Inc.
Inventor： Oliver Isaac Goldman , Thomas William Randall Jacobs , Kent Andrew Edmonds , Kevin Gary Smith , Pradeep Saikalyanachakravarthi Javangula , Ashley Manning Still
IPC: G06Q30/02
Abstract: Techniques and systems are described for analyzing components of digital content. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital content.
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公开(公告)号：US20230013199A1
公开(公告)日：2023-01-19
申请号：US17949779
申请日：2022-09-21
Applicant: Adobe Inc.
Inventor： Oliver Isaac Goldman , Thomas William Randall Jacobs , Kent Andrew Edmonds , Kevin Gary Smith , Pradeep Saikalyanachakravarthi Javangula , Ashley Manning Still
IPC: G06Q30/02
Abstract: Techniques and systems are described to enable users to optimize a digital marketing content system by analyzing an effect of components of digital marketing content on audience segments, environments of consumption, and channels of consumption. A computing device of an analytics system receives user interaction data describing an effect of user interaction with multiple items of digital marketing content on achieving an action for multiple audience segments. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system generates data identifying different aspects that likely had an effect on the achieving an action on the items of digital marketing content, such as components of the items of digital marketing content, environments of consumption, channels of consumption. The analytics system outputs a result based on the data in a user interface.
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公开(公告)号：US11132349B2
公开(公告)日：2021-09-28
申请号：US16827413
申请日：2020-03-23
Applicant: Adobe Inc.
Inventor： Gavin Stuart Peter Miller , Kevin Gary Smith , Kent Andrew Edmonds , Govind P. Balakrishnan
Abstract: An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.
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公开(公告)号：US11030236B2
公开(公告)日：2021-06-08
申请号：US15824836
申请日：2017-11-28
Applicant: ADOBE INC.
Inventor： Samarth Gulati , Brett Butterfield , Baldo Faieta , Bernard James Kerr , Kent Andrew Edmonds
IPC: G06F16/583 , G06F16/532 , G06F16/56 , G06F16/9535
Abstract: Systems and methods for searching digital content, such as digital images, are disclosed. A method includes receiving a first search constraint and generating search results based on the first search constraint. A search constraint includes search values or criteria. The search results include a ranked set of digital images. A second search constraint and a weight value associated with the second search constraint are received. The search results are updated based on the second search constraint and the weight value. The updated search results are provided to a user. Updating the search results includes determining a ranking (or a re-ranking) for each item of content included in the search results based on the first search constraint, the second search constraint, and the weight value. Re-ranking the search results may further be based on a weight value associated with the first search constraint, such as a default or maximum weight value.
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15.发明申请公开(公告)号：US20200334290A1
公开(公告)日：2020-10-22
申请号：US16389592
申请日：2019-04-19
Applicant: Adobe Inc.
Inventor： Lubomira Dontcheva , Kent Andrew Edmonds , Cristin Fraser , Scott Klemmer
IPC: G06F16/732 , G06F9/54 , G06F16/71
Abstract: A method includes detecting control of an active content creation tool of an interactive computing system in response to a user input received at a user interface of the interactive computing system. The method also includes automatically updating a video search query based on the detected control of the active content creation tool to include context information about the active content creation tool. Further, the method includes performing a video search of video captions from a video database using the video search query and providing search results of the video search to the user interface of the interactive computing system.
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Patent Agency Ranking
公开(公告)号：US20200218709A1
公开(公告)日：2020-07-09
申请号：US16827413
申请日：2020-03-23
Applicant: Adobe Inc.
Inventor： Gavin Stuart Peter Miller , Kevin Gary Smith , Kent Andrew Edmonds , Govind P. Balakrishnan
Abstract: An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.
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公开(公告)号：US11853723B2
公开(公告)日：2023-12-26
申请号：US17490748
申请日：2021-09-30
Applicant: Adobe Inc.
Inventor： Thomas William Randall Jacobs , Peter Raymond Fransen , Kevin Gary Smith , Kent Andrew Edmonds , Jen-Chan Jeff Chien , Gavin Stuart Peter Miller
CPC classification number: G06F8/33 , G06F21/6245 , G06N5/02 , G06N20/00
Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
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公开(公告)号：US11544743B2
公开(公告)日：2023-01-03
申请号：US15785329
申请日：2017-10-16
Applicant: Adobe Inc.
Inventor： Thomas William Randall Jacobs , Peter Raymond Fransen , Kevin Gary Smith , Kent Andrew Edmonds , Jen-Chan Jeff Chien , Gavin Stuart Peter Miller
Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
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公开(公告)号：US20220019412A1
公开(公告)日：2022-01-20
申请号：US17490748
申请日：2021-09-30
Applicant: Adobe Inc.
Inventor： Thomas William Randall Jacobs , Peter Raymond Fransen , Kevin Gary Smith , Kent Andrew Edmonds , Jen-Chan Jeff Chien , Gavin Stuart Peter Miller
Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
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公开(公告)号：US20200265463A1
公开(公告)日：2020-08-20
申请号：US16867321
申请日：2020-05-05
Applicant: Adobe Inc.
Inventor： Oliver Isaac Goldman , Thomas William Randall Jacobs , Kent Andrew Edmonds , Kevin Gary Smith , Pradeep Saikalyanachakravarthi Javangula , Ashley Manning Still
IPC: G06Q30/02
Abstract: Techniques and systems are described for analyzing components of digital content. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital content.
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