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公开(公告)号：US10891667B2
公开(公告)日：2021-01-12
申请号：US15687658
申请日：2017-08-28
申请人： Adobe Inc.
发明人： Balaji Vasan Srinivasan , Shiv Kumar Saini , Kundan Krishna , Anandhavelu Natarajan , Tanya Goyal , Pranav Ravindra Maneriker , Cedric Huesler
IPC分类号： G06Q30/06 , G06F16/957 , G06F17/10 , G06Q30/02
摘要： Embodiments are disclosed for bundling and arranging online content fragments for presentation based on content-specific metrics and inter-content constraints. For example, a content management application accesses candidate content fragments, a content-specific metric, and an inter-content constraint. The content management application computes minimum and maximum contribution values for the candidate content fragments. The content management application selects, based on the computed minimum and maximum contribution values, a subset of the candidate content fragments. The content management application applies, subject to the inter-content constraint, a bundle-selection function to the selected candidate content fragments and thereby identifies a bundle of online content fragments. The content management application outputs the identified bundle of online content fragments for presentation via an online service.
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公开(公告)号：US20200250375A1
公开(公告)日：2020-08-06
申请号：US16842280
申请日：2020-04-07
申请人： ADOBE INC.
IPC分类号： G06F40/253 , G06F40/169 , G06F40/284 , G06F40/289 , G06N20/00 , G06N5/02
摘要： Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating predicting style breaches within content. In one embodiment, target content for which style breach prediction is desired is obtained. Style features associated with the target content are identified. Such style features and a style breach prediction model are used to predict a style breach within the target content, the style breach indicating a change of style used within the target content (e.g., a single document).
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公开(公告)号：US10650094B2
公开(公告)日：2020-05-12
申请号：US15812632
申请日：2017-11-14
申请人： ADOBE INC.
摘要： Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating predicting style breaches within content. In one embodiment, target content for which style breach prediction is desired is obtained. Style features associated with the target content are identified. Such style features and a style breach prediction model are used to predict a style breach within the target content, the style breach indicating a change of style used within the target content (e.g., a single document).
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4.发明授权公开(公告)号：US11665073B2
公开(公告)日：2023-05-30
申请号：US17319364
申请日：2021-05-13
申请人： Adobe Inc.
IPC分类号： H04L43/0823 , H04L41/14 , H04L41/22
CPC分类号： H04L43/0823 , H04L41/14 , H04L41/22
摘要： In some embodiments, an intervention evaluation system estimates counterfactual metric for a focal online platform based on an assessment model built using performance data of the focal online platform and control online platforms. The intervention evaluation system accesses performance data of the focal online platform that has been subject to a temporary intervention and performance data of control online platforms that are not subject to the temporary intervention. The intervention evaluation system determines estimation weights for these control online platforms based on the performance data in a pre-intervention period. Based on the estimation weights, the intervention evaluation system computes a counterfactual metric indicating the performance of the focal online platform in a post-intervention period in the absence of the temporary intervention. The counterfactual metric is transmitted to the focal online platform, where the counterfactual metric is usable for modifying an interactive computing environment provided by the focal online platform.
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5.发明申请公开(公告)号：US20210266245A1
公开(公告)日：2021-08-26
申请号：US17319364
申请日：2021-05-13
申请人： Adobe Inc.
摘要： In some embodiments, an intervention evaluation system estimates counterfactual metric for a focal online platform based on an assessment model built using performance data of the focal online platform and control online platforms. The intervention evaluation system accesses performance data of the focal online platform that has been subject to a temporary intervention and performance data of control online platforms that are not subject to the temporary intervention. The intervention evaluation system determines estimation weights for these control online platforms based on the performance data in a pre-intervention period. Based on the estimation weights, the intervention evaluation system computes a counterfactual metric indicating the performance of the focal online platform in a post-intervention period in the absence of the temporary intervention. The counterfactual metric is transmitted to the focal online platform, where the counterfactual metric is usable for modifying an interactive computing environment provided by the focal online platform.
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公开(公告)号：US11093957B2
公开(公告)日：2021-08-17
申请号：US15819808
申请日：2017-11-21
申请人： Adobe Inc.
发明人： Atanu R. Sinha , Meghanath Macha Yadagiri , Pranav Ravindra Maneriker , Sopan Khosla , Avani Samdariya , Navjot Singh
摘要： Modifications to the DiD technique are disclosed which provide an estimate of the effectiveness of a site-wide action where no control group exists within the data subsequent to implementation of the site-wide action. In some examples, a method may include identifying a treatment group based on a modified treatment period, selecting a control group from a control period prior to the modified treatment period, and performing a modified difference-in-differences (DiD) estimation for a metric based on the modified treatment period, the treatment group, the control period, and the control group. The modified treatment period may encompass an intervention of a site-wide action, and include a pre-intervention time period and a post-intervention time period.
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公开(公告)号：US20190156359A1
公开(公告)日：2019-05-23
申请号：US15819808
申请日：2017-11-21
申请人： Adobe Inc.
发明人： Atanu R. Sinha , Meghanath Macha Yadagiri , Pranav Ravindra Maneriker , Sopan Khosla , Avani Samdariya , Navjot Singh
摘要： Modifications to the DiD technique are disclosed which provide an estimate of the effectiveness of a site-wide action where no control group exists within the data subsequent to implementation of the site-wide action. In some examples, a method may include identifying a treatment group based on a modified treatment period, selecting a control group from a control period prior to the modified treatment period, and performing a modified difference-in-differences (DiD) estimation for a metric based on the modified treatment period, the treatment group, the control period, and the control group. The modified treatment period may encompass an intervention of a site-wide action, and include a pre-intervention time period and a post-intervention time period.
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公开(公告)号：US11200501B2
公开(公告)日：2021-12-14
申请号：US15837929
申请日：2017-12-11
申请人： Adobe Inc.
发明人： Ritwik Sinha , Virgil-Artimon Palanciuc , Pranav Ravindra Maneriker , Manish Dash , Tharun Mohandoss , Dhruv Singal
摘要： Various embodiments describe user segmentation. In an example, potential rules are generated by applying a frequency-based analysis to user interaction data points. Each of the potential rules includes a set of attributes of the user interaction data points and indicates that these data points belong to a segment of interest. An objective function is used to select an optimal set of rules from the potential rules for the segment of interest. The potential rules are used as variable inputs to the objective function and this function is optimized based on interpretability and accuracy parameters. Each rule from the optimal set is associated with a group of the segment of interest. The user interaction data points are segments into the groups by matching attributes of these data points with the rules.
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9.发明授权公开(公告)号：US11038785B2
公开(公告)日：2021-06-15
申请号：US16253467
申请日：2019-01-22
申请人： Adobe Inc.
摘要： In some embodiments, an intervention evaluation system estimates counterfactual metric for a focal online platform based on an assessment model built using performance data of the focal online platform and control online platforms. The intervention evaluation system accesses performance data of the focal online platform that has been subject to a temporary intervention and performance data of control online platforms that are not subject to the temporary intervention. The intervention evaluation system determines estimation weights for these control online platforms based on the performance data in a pre-intervention period. Based on the estimation weights, the intervention evaluation system computes a counterfactual metric indicating the performance of the focal online platform in a post-intervention period in the absence of the temporary intervention. The counterfactual metric is transmitted to the focal online platform, where the counterfactual metric is usable for modifying an interactive computing environment provided by the focal online platform.
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公开(公告)号：US20200320165A1
公开(公告)日：2020-10-08
申请号：US16376906
申请日：2019-04-05
申请人： Adobe Inc.
发明人： Balaji Vasan Srinivasan , Surya S. Dwivedi , Rohan Kumar , Pranav Ravindra Maneriker , Paridhi Maheshwari , Nitish Bansal
摘要： A method includes extracting a set of segments located in a reference single page graphic image. A first segment overlaps with a second segment of the set of segments. The method includes identifying a plurality of bounding areas within the reference single page graphic image. Each segment of the set of segments is associated with a bounding area of the plurality of bounding areas. The plurality of bounding areas includes a first bounding area and a second bounding area, the first bounding area overlapping with the second bounding area. The method includes generating an editable template including a set of editable fields. The set of editable fields is determined based upon the plurality of bounding areas in the reference single page graphic image. A position of an editable field in the editable template is based upon a position in the reference single page graphic image of a corresponding bounding area.
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