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    Sales forecasting using browsing ratios and browsing durations
    31.
    发明授权
    Sales forecasting using browsing ratios and browsing durations 有权

    公开(公告)号：US11010772B2

    公开(公告)日：2021-05-18

    申请号：US15161810

    申请日：2016-05-23

    Applicant: Adobe Inc.

    Inventor： Jinyoung Yeo ,  Nedim Lipka ,  Eunyee Koh

    IPC: G06Q30/00 ,  G06Q30/02 ,  H04L29/08

    Abstract: Sales Forecasting using Browsing Ratios and Browsing Durations is described. In one or more implementations, browsing ratios representative of how much users visited webpages associated with a product or service, and browsing durations representing how much time users spent visiting the webpages associated with the product or service are determined. Based on the determined browsing ratios and browsing durations, a sales forecast of the product or service can be accurately determined.

    Time-dependent network embedding
    32.
    发明授权
    Time-dependent network embedding 有权

    公开(公告)号：US10728104B2

    公开(公告)日：2020-07-28

    申请号：US16192313

    申请日：2018-11-15

    Applicant: Adobe Inc.

    Inventor： Ryan A. Rossi ,  Sungchul Kim ,  Eunyee Koh

    IPC: H04L12/24 ,  H04L12/26 ,  H04L12/751 ,  H04L29/08

    Abstract: In implementations of time-dependent network embedding, a computing device maintains time-dependent interconnected data in the form of a time-based graph that includes nodes and node associations that each represent an edge between two of the nodes in the time-based graph based at least in part on a temporal value that indicates when the two nodes were associated. The computing device includes a network embedding module that is implemented to traverse one or more of the nodes in the time-based graph along the node associations, where the traversal is performed with respect to the temporal value of each of the edges that associate the nodes. The network embedding module is also implemented to determine a time-dependent embedding for each of the nodes traversed in the time-based graph, the time-dependent embedding for each of the respective nodes being representative of feature values that describe the respective node.

    Knowledge discovery from belief networks
    33.
    发明授权
    Knowledge discovery from belief networks 有权

    公开(公告)号：US10699204B2

    公开(公告)日：2020-06-30

    申请号：US15586387

    申请日：2017-05-04

    Applicant: Adobe Inc.

    Inventor： Carlos Riquelme Ruiz ,  Eunyee Koh

    IPC: G06N5/04 ,  G06N7/00 ,  G06N3/08 ,  G06N5/02 ,  H04L12/24 ,  H04L12/26 ,  H04L29/08

    Abstract: Techniques are disclosed herein for making predictions with respect to how content consumers will interact with a digital asset. For example, in the context of website visitors browsing digital assets provided via a website, web traffic data can be collected and modeled using a belief network. The belief network may represent a probability distribution for a set of variables that define the web traffic data. Examples of such variables include browser type, browsing session duration, geographic location, visitor demographic characteristics, and a browsing outcome. Certain of the embodiments disclosed herein can be used to extract knowledge from the belief network, thereby allowing statistical inferences to be drawn with respect to how certain classes of website visitors will interact with the website. The influence of one or more first variables (for example, geographic location) can be quantified with respect to one or more second variables (for example, the successful result indicator).

    System and methods for providing invisible augmented reality markers
    37.
    发明授权
    System and methods for providing invisible augmented reality markers 有权

    公开(公告)号：US12125148B2

    公开(公告)日：2024-10-22

    申请号：US17664972

    申请日：2022-05-25

    Applicant: ADOBE INC.

    Inventor： Chang Xiao ,  Ryan A. Rossi ,  Eunyee Koh

    IPC: G06T19/00 ,  G06T7/00 ,  G06T7/73

    CPC classification number: G06T19/006 ,  G06T7/73 ,  G06T7/97 ,  G06T2207/20224 ,  G06T2207/30204

    Abstract: A system and methods for providing human-invisible AR markers is described. One aspect of the system and methods includes identifying AR metadata associated with an object in an image; generating AR marker image data based on the AR metadata; generating a first variant of the image by adding the AR marker image data to the image; generating a second variant of the image by subtracting the AR marker image data from the image; and displaying the first variant and the second variant of the image alternately at a display frequency to produce a display of the image, wherein the AR marker image data is invisible to a human vision system in the display of the image.

    GENERATING NATURAL LANGUAGE MODEL INSIGHTS FOR DATA CHARTS USING LIGHT LANGUAGE MODELS DISTILLED FROM LARGE LANGUAGE MODELS
    38.
    发明公开
    GENERATING NATURAL LANGUAGE MODEL INSIGHTS FOR DATA CHARTS USING LIGHT LANGUAGE MODELS DISTILLED FROM LARGE LANGUAGE MODELS 审中-公开

    公开(公告)号：US20240320421A1

    公开(公告)日：2024-09-26

    申请号：US18338033

    申请日：2023-06-20

    Applicant: Adobe Inc.

    Inventor： Victor Soares Bursztyn ,  Wei Zhang ,  Prithvi Bhutani ,  Eunyee Koh ,  Abhisek Trivedi

    IPC: G06F40/186

    CPC classification number: G06F40/186

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating naturally phrased insights about data charts using light language models distilled from large language models. To synthesize training data for the light language model, in some embodiments, the disclosed systems leverage insight templates for prompting a large language model for generating naturally phrased insights. In some embodiments, the disclosed systems anonymize and augment the synthesized training data to improve the accuracy and robustness of model predictions. For example, the disclosed systems anonymize training data by injecting noise into data charts before prompting the large language model for generating naturally phrased insights from insight templates. In some embodiments, the disclosed systems further augment the (anonymized) training data by splitting or partitioning data charts into folds that act as individual data charts.

    Augmented reality systems for comparing physical objects
    40.
    发明授权
    Augmented reality systems for comparing physical objects 有权

    公开(公告)号：US11922691B2

    公开(公告)日：2024-03-05

    申请号：US17724686

    申请日：2022-04-20

    Applicant: Adobe Inc.

    Inventor： Shunan Guo ,  Ryan A. Rossi ,  Jane Elizabeth Hoffswell ,  Fan Du ,  Eunyee Koh ,  Bingjie Xu

    IPC: G06V20/20 ,  G06T7/70 ,  G06T19/00 ,  H04N23/63

    CPC classification number: G06V20/20 ,  G06T7/70 ,  G06T19/006 ,  H04N23/631 ,  G06T2207/30204

    Abstract: In implementations of augmented reality systems for comparing physical objects, a computing device implements a comparison system to detect physical objects and physical markers depicted in frames of a digital video captured using an image capture device and displayed in a user interface. The comparison system associates a physical object of the physical objects with a physical marker of the physical markers based on an association distance estimated using two-dimensional coordinates of the user interface corresponding to a center of the physical object and a distance from the image capture device to the physical marker. Characteristics of the physical object are determined that are not displayed in the user interface based on an identifier of the physical marker. The comparison system generates a virtual object for display in the user interface that includes indications of a subset of the characteristics of the physical object.

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