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公开(公告)号：US11829940B2
公开(公告)日：2023-11-28
申请号：US18117586
申请日：2023-03-06
Applicant: Adobe Inc.
Inventor： Kirankumar Shiragur , Tung Thanh Mai , Anup Bandigadi Rao , Ryan A. Rossi , Georgios Theocharous , Michele Saad
IPC: G06Q10/0835 , G06Q10/087 , G06Q10/047 , G06F17/11
CPC classification number: G06Q10/08355 , G06F17/11 , G06Q10/047 , G06Q10/087
Abstract: In implementations of item transfer control systems, a computing device implements a transfer system to receive input data describing types of requested items and corresponding quantities of the types of requested items to receive at each of a plurality of destination sites and types of available items and corresponding quantities of the types of available items that are available at each of a plurality of source sites. The transfer system constructs a flow network having a source node for each of the plurality of the source sites and a destination node for each of the plurality of the destination sites. An integral approximate solution is generated that transfers the corresponding quantities of the types of requested items to each of the plurality of the destination sites using a maximum flow solver and the flow network. The transfer system causes transferences of the corresponding quantities of the types of requested items to each of the plurality of the destination sites based on the integral approximate solution.
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公开(公告)号：US20230041594A1
公开(公告)日：2023-02-09
申请号：US17394707
申请日：2021-08-05
Applicant: Adobe Inc.
Inventor： Kirankumar Shiragur , Tung Thanh Mai , Anup Bandigadi Rao , Ryan A. Rossi , Georgios Theocharous , Michele Saad
Abstract: In implementations of item transfer control systems, a computing device implements a transfer system to receive input data describing types of requested items and corresponding quantities of the types of requested items to receive at each of a plurality of destination sites and types of available items and corresponding quantities of the types of available items that are available at each of a plurality of source sites. The transfer system constructs a flow network having a source node for each of the plurality of the source sites and a destination node for each of the plurality of the destination sites. An integral approximate solution is generated that transfers the corresponding quantities of the types of requested items to each of the plurality of the destination sites using a maximum flow solver and the flow network. The transfer system causes transferences of the corresponding quantities of the types of requested items to each of the plurality of the destination sites based on the integral approximate solution.
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公开(公告)号：US11487579B2
公开(公告)日：2022-11-01
申请号：US16867104
申请日：2020-05-05
Applicant: ADOBE INC.
Inventor： Kanak Vivek Mahadik , Ryan A. Rossi , Sana Malik Lee , Georgios Theocharous , Handong Zhao , Gang Wu , Youngsuk Park
Abstract: A system and method for automatically adjusting computing resources provisioned for a computer service or application by applying historical resource usage data to a predictive model to generate predictive resource usage. The predictive resource usage is then simulated for various service configurations, determining scaling requirements and resource wastage for each configuration. A cost value is generated based on the scaling requirement and resource wastage, with the cost value for each service configuration used to automatically select a configuration to apply to the service. Alternatively, the method for automatically adjusting computer resources provisioned for a service may include receiving resource usage data of the service, applying it to a linear quadratic regulator (LQR) to find an optimal stationary policy (treating the resource usage data as states and resource-provisioning variables as actions), and providing instructions for configuring the service based on the optimal stationary policy.
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公开(公告)号：US11429892B2
公开(公告)日：2022-08-30
申请号：US15934531
申请日：2018-03-23
Applicant: ADOBE INC.
Inventor： Sorathan Chaturapruek , Georgios Theocharous , Kent Andrew Edmonds
Abstract: Systems and methods provide a recommendation system for recommending sequential content. The training of a reinforcement learning (RL) agent is bootstrapped from passive data. The RL agent of the sequential recommendations system is trained using the passive data over a number of epochs involving interactions between the sequential recommendation system and user devices. At each epoch, available active data from previous epochs is obtained, and transition probabilities are generated from the passive data and at least one parameter derived from the currently available active data. Recommended content is selected based on a current state and the generated transition probabilities, and the active data is updated from the current epoch based on the recommended content and a resulting new state. A clustering approach can also be employed when deriving parameters from active data to balance model expressiveness and data sparsity.
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公开(公告)号：US20220270152A1
公开(公告)日：2022-08-25
申请号：US17180693
申请日：2021-02-19
Applicant: Adobe Inc.
Inventor： Georgios Theocharous , Nedim Lipka , Michele Saad
IPC: G06Q30/06 , G06F40/205 , G06F40/284
Abstract: Techniques are provided herein for identifying contrasting items based on a target item and presenting each of the target item and contrasting items together to a user. The target item may be any item that is of interest to the user. The contrasting items are identified using a system that compares features of the items together and also considers historical user data associated with the items. Natural language processes are used to label and identify salient portions of the catalog data for the items. Historical user data between items may be determined based on one or more documented event actions that occur with regards to co-viewing the items in some fashion. Both the historical user data and catalog comparisons between items are combined to determine a similarity score or metric between items. Items having highest similarity scores with the target item within a same cluster or group are presented.
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Patent Agency Ranking
公开(公告)号：US20220137930A1
公开(公告)日：2022-05-05
申请号：US17089838
申请日：2020-11-05
Applicant: ADOBE INC.
Inventor： Sridhar Mahadevan , Anup Rao , Jennifer Healey , Georgios Theocharous
Abstract: Systems and methods are described for performing dynamic time warping using diffusion wavelets. Embodiments of the inventive concept integrate dynamic time warping with multi-scale manifold learning methods. Certain embodiments also include warping on mixed manifolds (WAMM) and curve wrapping. The described techniques enable an improved data analytics application to align high dimensional ordered sequences such as time-series data. In one example, a first embedding of a first ordered sequence of data and a second embedding of a second ordered sequence of data may be computed based on generated diffusion wavelet basis vectors. Alignment data may then be generated for the first ordered sequence of data and the second ordered sequence of data by performing dynamic time warping.
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公开(公告)号：US10783450B2
公开(公告)日：2020-09-22
申请号：US15348747
申请日：2016-11-10
Applicant: Adobe Inc.
Inventor： Nikolaos Vlassis , Georgios Theocharous , Mandana Hamidi Haines
Abstract: Certain embodiments involve learning user preferences and predicting user behavior based on sequential user behavior data. For example, a system obtains data about a sequence of prior actions taken by multiple users. The system determines a similarity between a prior action taken by the various users and groups the various users into groups or clusters based at least in part on the similarity. The system trains a machine-learning algorithm such that the machine-learning algorithm can be used to predict a subsequent action of a user among the various users based on the various clusters. The system further obtains data about a current action of a new user and determines which of the clusters to associate with the new user based on the new user's current action. The system determines an action to be recommended to the new user based on the cluster associated with the new user. The action can include a series or sequence of actions to be taken by the new user. The system further provides the series or sequence of actions or an action of the series or sequence to the new user.
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公开(公告)号：US20230261966A1
公开(公告)日：2023-08-17
申请号：US17671075
申请日：2022-02-14
Applicant: ADOBE INC.
Inventor： Georgios Theocharous , Kai Wang , Zhao Song , Sridhar Mahadevan
IPC: H04L45/00 , H04L41/147
CPC classification number: H04L45/08 , H04L41/147
Abstract: A control system facilitates active management of a streaming data system. Given historical data traffic for each data stream processed by a streaming data system, the control system uses a machine learning model to predict future data traffic for each data stream. The control system selects a matching between data streams and servers for a future time that minimizes a cost comprising a switching cost and a server imbalance cost based on the predicted data traffic for the future time. In some configurations, the matching is selected using a planning window comprising a number of future time steps dynamically selected based on uncertainty associated with the predicted data traffic. Given the selected matching, the control system may manage the streaming data system by causing data streams to be moved between servers based on the matching.
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公开(公告)号：US20230206171A1
公开(公告)日：2023-06-29
申请号：US18117586
申请日：2023-03-06
Applicant: Adobe Inc.
Inventor： Kirankumar Shiragur , Tung Thanh Mai , Anup Bandigadi Rao , Ryan A. Rossi , Georgios Theocharous , Michele Saad
IPC: G06Q10/0835 , G06F17/11 , G06Q10/087 , G06Q10/047
CPC classification number: G06Q10/08355 , G06F17/11 , G06Q10/087 , G06Q10/047
Abstract: In implementations of item transfer control systems, a computing device implements a transfer system to receive input data describing types of requested items and corresponding quantities of the types of requested items to receive at each of a plurality of destination sites and types of available items and corresponding quantities of the types of available items that are available at each of a plurality of source sites. The transfer system constructs a flow network having a source node for each of the plurality of the source sites and a destination node for each of the plurality of the destination sites. An integral approximate solution is generated that transfers the corresponding quantities of the types of requested items to each of the plurality of the destination sites using a maximum flow solver and the flow network. The transfer system causes transferences of the corresponding quantities of the types of requested items to each of the plurality of the destination sites based on the integral approximate solution.
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公开(公告)号：US11636423B2
公开(公告)日：2023-04-25
申请号：US17394707
申请日：2021-08-05
Applicant: Adobe Inc.
Inventor： Kirankumar Shiragur , Tung Thanh Mai , Anup Bandigadi Rao , Ryan A. Rossi , Georgios Theocharous , Michele Saad
IPC: G06Q10/0835 , G06F17/11 , G06Q10/087 , G06Q10/047
Abstract: In implementations of item transfer control systems, a computing device implements a transfer system to receive input data describing types of requested items and corresponding quantities of the types of requested items to receive at each of a plurality of destination sites and types of available items and corresponding quantities of the types of available items that are available at each of a plurality of source sites. The transfer system constructs a flow network having a source node for each of the plurality of the source sites and a destination node for each of the plurality of the destination sites. An integral approximate solution is generated that transfers the corresponding quantities of the types of requested items to each of the plurality of the destination sites using a maximum flow solver and the flow network. The transfer system causes transferences of the corresponding quantities of the types of requested items to each of the plurality of the destination sites based on the integral approximate solution.
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