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公开(公告)号：US11443389B2
公开(公告)日：2022-09-13
申请号：US17001984
申请日：2020-08-25
Applicant: Adobe Inc.
Inventor： Gaurush Hiranandani , Tanya Goyal , Sumit Shekhar , Payal Bajaj
Abstract: Techniques and systems for determining paywall metrics are described. In an implementation, a candidate paywall metric is created that corresponds to an increased propensity of users to engage in a paid transaction when exposed to a paywall. In this way, providers of digital content may increase the proportion of users that perform a transaction when exposed to the paywall.
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公开(公告)号：US11205111B2
公开(公告)日：2021-12-21
申请号：US15609254
申请日：2017-05-31
Applicant: Adobe Inc.
Inventor： Shiv Kumar Saini , Prakhar Gupta , Harvineet Singh , Gaurush Hiranandani
Abstract: Techniques of forecasting web metrics involve generating, prior to the end of a period of time, a probability of a metric taking on an anomalous value, e.g., a value indicative of an anomaly with respect to web traffic, at the end of the period based on previous values of the metric. Such a probability is based on a distribution of predicted values of the metric at some previous period of time. For example, a web server may use actual values of the number of bounces collected at hourly intervals in the middle of a day to predict a number of bounces at the end of the current day. Further, the web server may also compute a confidence interval to determine whether a predicted end-of-day number of bounces may be considered anomalous. The width of the confidence interval indicates the probability that a predicted end-of-day number of bounces has an anomalous value.
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公开(公告)号：US20190213403A1
公开(公告)日：2019-07-11
申请号：US15868531
申请日：2018-01-11
Applicant: Adobe Inc.
Inventor： Kushal Chawla , Gaurush Hiranandani , Aditya Jain , Vaishnav Pawan Madandas , Moumita Sinha
Abstract: Systems and methods are disclosed herein for determining user behavior in an augmented reality environment. An augmented reality application executing on a computing system receives a video depicting a face of a person. The video includes a video frame. The augmented reality application augments the video frame with an image of an item selected via input from a user device associated with a user. The augmented reality application determines, from the video frame, a score representing an action unit. The action unit represents a muscle on the face of the person depicted by the video frame and the score represents an intensity of the action unit. The augmented reality application calculates, from a predictive model and based on the score, an indicator of intent of the person depicted by the video.
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4.发明申请公开(公告)号：US20190102952A1
公开(公告)日：2019-04-04
申请号：US16189638
申请日：2018-11-13
Applicant: Adobe Inc.
Inventor： Gaurush Hiranandani , Chinnaobireddy Varsha , Sai Varun Reddy Maram , Kumar Ayush , Atanu Ranjan Sinha
CPC classification number: G06T19/006 , G06Q10/00 , G06Q10/06 , G06Q30/0641
Abstract: Certain embodiments involve enhancing personalization of a virtual-commerce environment by identifying an augmented-reality visual of the virtual-commerce environment. For example, a system obtains a data set that indicates a plurality of augmented-reality visuals generated in a virtual-commerce environment and provided for view by a user. The system obtains data indicating a triggering user input that corresponds to a predetermined user input provideable by the user as the user views an augmented-reality visual of the plurality of augmented-reality visuals. The system obtains data indicating a user input provided by the user. The system compares the user input to the triggering user input to determine a correspondence (e.g., a similarity) between the user input and the triggering user input. The system identifies a particular augmented-reality visual of the plurality of augmented-reality visuals that is viewed by the user based on the correspondence and stores the identified augmented-reality visual.
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公开(公告)号：US10528533B2
公开(公告)日：2020-01-07
申请号：US15428523
申请日：2017-02-09
Applicant: Adobe Inc.
Inventor： Shiv Kumar Saini , Trevor Paulsen , Moumita Sinha , Gaurush Hiranandani
IPC: G06F16/00 , G06F16/215
Abstract: Techniques are disclosed for identifying anomalies in small data sets, by identifying anomalies using a Generalized Extreme Student Deviate test (GESD test). In an embodiment, a data set, such as business data or a website metric, is checked for skewness and, if found to be skewed, is transformed to a normal distribution (e.g., by applying a Box-Cox transformation). The data set is checked for presence of trends and, if a trend is found, has the trend removed (e.g., by running a linear regression). In one embodiment, a maximum number of anomalies is estimated for the data set, by applying an adjusted box plot to the data set. The data set and the estimated number of anomalies is run through a GESD test, and the test identifies anomalous data points in the data set, based on the provided estimated number of anomalies. In an embodiment, a confidence interval is generated for the identified anomalies.
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Patent Agency Ranking
公开(公告)号：US20190340649A1
公开(公告)日：2019-11-07
申请号：US15972815
申请日：2018-05-07
Applicant: Adobe Inc.
Inventor： Kumar Ayush , Gaurush Hiranandani
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating augmented reality representations of recommended products based on style compatibility with real-world surroundings. For example, the disclosed systems can identify a real-world object within a camera feed and can utilize a 2D-3D alignment algorithm to identify a three-dimensional model that matches the real-world object. In addition, the disclosed systems can utilize a style compatibility algorithm to generate recommended products based on style compatibility in relation to the identified three-dimensional model. The disclosed systems can further utilize a color compatibility algorithm to determine product textures which are color compatible with the real-world surroundings and generate augmented reality representations of recommended products to provide as an overlay of the real-world environment of the camera feed.
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公开(公告)号：US12112349B2
公开(公告)日：2024-10-08
申请号：US15238208
申请日：2016-08-16
Applicant: ADOBE INC.
Inventor： Natwar Modani , Iftikhar Ahamath Burhanuddin , Gaurush Hiranandani , Shiv Kumar Saini
IPC: G06Q30/0242
CPC classification number: G06Q30/0244
Abstract: Methods and systems are provided herein for summarizing a set of anomalies corresponding to a group of metrics of interest to a monitoring system user. Initially, a set of anomalies corresponding to a group of metrics is identified as having values that are outside of a predetermined range. A correlation value is determined for at least a portion of pairs of anomalies in the set of anomalies. For each anomaly in the set of anomalies, an informativeness value is computed that indicates how informative each anomaly in the set of anomalies is to the monitoring system user. The correlation values and the informativeness values are then used to identify at least one key anomaly and a plurality of non-key anomalies from the set of anomalies. A summary is generated of the identified at least one key anomaly to provide information to the monitoring system user about the set of anomalies for a particular time period.
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公开(公告)号：US10984058B2
公开(公告)日：2021-04-20
申请号：US15892085
申请日：2018-02-08
Applicant: Adobe Inc.
Inventor： Branislav Kveton , Zheng Wen , Prakhar Gupta , Iftikhar Ahamath Burhanuddin , Harvineet Singh , Gaurush Hiranandani
IPC: G06F16/00 , G06F16/9535 , G06N20/00 , G06F16/248 , G06F16/2457 , G06Q30/02
Abstract: A machine-learning framework uses partial-click feedback to generate an optimal diverse set of items. An example method includes estimating a preference vector for a user based on diverse cascade statistics for the user, the diverse cascade statistics including previously observed responses and previously observed topic gains. The method also includes generating an ordered set of items from the item repository, the items in the ordered set having highest topic gain weighted by similarity with the preference vector, providing the ordered set for presentation to the user, and receiving feedback from the user on the ordered set. The method also includes, responsive to the feedback indicating a selected item, updating the diverse cascade statistics for observed items, wherein the updating results in penalizing the topic gain for items of the observed items that are not the selected item and promoting the topic gain for the selected item.
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公开(公告)号：US10956967B2
公开(公告)日：2021-03-23
申请号：US16004787
申请日：2018-06-11
Applicant: Adobe Inc.
Inventor： Kumar Ayush , Gaurush Hiranandani
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating augmented reality representations of recommended products based on style similarity with real-world surroundings. For example, the disclosed systems can identify a real-world object within a camera feed and can utilize a 2D-3D alignment algorithm to identify a three-dimensional model that matches the real-world object. In addition, the disclosed systems can utilize a style similarity algorithm to generate style similarity scores for products in relation to the identified three-dimensional model. The disclosed systems can also utilize a color compatibility algorithm to generate color compatibility scores for products, and the systems can determine overall scores for products based on a combination of style similarity scores and color compatibility scores. The disclosed systems can further generate AR representations of recommended products based on the overall scores.
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10.发明授权公开(公告)号：US10950060B2
公开(公告)日：2021-03-16
申请号：US16908718
申请日：2020-06-22
Applicant: Adobe Inc.
Inventor： Gaurush Hiranandani , Chinnaobireddy Varsha , Sai Varun Reddy Maram , Kumar Ayush , Atanu Ranjan Sinha
Abstract: Certain embodiments involve enhancing personalization of a virtual-commerce environment by identifying an augmented-reality visual of the virtual-commerce environment. For example, a system obtains a data set that indicates a plurality of augmented-reality visuals generated in a virtual-commerce environment and provided for view by a user. The system obtains data indicating a triggering user input that corresponds to a predetermined user input provideable by the user as the user views an augmented-reality visual of the plurality of augmented-reality visuals. The system obtains data indicating a user input provided by the user. The system compares the user input to the triggering user input to determine a correspondence (e.g., a similarity) between the user input and the triggering user input. The system identifies a particular augmented-reality visual of the plurality of augmented-reality visuals that is viewed by the user based on the correspondence and stores the identified augmented-reality visual.
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