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公开(公告)号：US20230045365A1
公开(公告)日：2023-02-09
申请号：US17396900
申请日：2021-08-09
Applicant: eBay Inc.
Inventor： Tomer Lancewicki , Ramesh Periyathambi
Abstract: A method of training a machine learning model to determine an item margin is provided. The method includes monitoring a first value for a first item having attributes and monitoring a first value for a second type of item having attributes where an attribute of the first attributes is the same as an attribute of the second attributes. The method also includes determining a first margin based on the first values. The first attributes, the second attributes, and the first margin are input as training data for the machine learning model where the machine learning model is trained with the training data. The monitoring operations for the first item and the second item are repeated to obtain a second value for the first and second items. Furthermore, the trained machine learning model is applied to the second values to determine a second margin.
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公开(公告)号：US11507962B2
公开(公告)日：2022-11-22
申请号：US17028155
申请日：2020-09-22
Applicant: eBay Inc.
Inventor： Jean-David Ruvini , Ramesh Periyathambi , Lakshimi Duraivenkatesh
Abstract: A counterfeit item detection system detects counterfeit items during an item listing processes provided by an online marketplace. The system enhances the ability of the online marketplace to identify and reject potential counterfeit items. The system collects item data in various formats. The item data is analyzed using speech-to-text software and natural language processing to determine data elements representing items, item features, and language context. Questions are generated using the items and item features, and stored for each item. Answers to the questions have associated counterfeit indication weights. The weights are modified and used to rank the questions as feedback is received about counterfeit items. The ranking determines future question selection, allowing the best questions to continually be identified and provided. The counterfeit item detection system also trains a neural network to detect counterfeit items in images, where the training images are obtained from videos related to the item.
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公开(公告)号：US20220358558A1
公开(公告)日：2022-11-10
申请号：US17870331
申请日：2022-07-21
Applicant: eBay Inc.
Inventor： Ramesh Periyathambi , Tomer Lancewicki , Sai Vipin Siripurapu , Lakshimi Duraivenkatesh , Selcuk Kopru
Abstract: Different action user-interface components in a comparison view are described. Initially, a selection is received to display a comparison view via a user interface of a listing platform. Multiple listings of the listing platform are selected for inclusion in the comparison view. A comparison view system determines which action of a plurality of actions, used by the listing platform, to associate with each of the listings. A display device displays the multiple listings concurrently in a comparison view via a user interface of the listing platform and also displays an action user-interface component (e.g., a button) in each of the plurality of listings. The action user-interface component is selectable to initiate the action associated with the respective listing. In accordance with the described techniques, the action user-interface component displayed in at least two of the multiple listings is selectable to initiate different actions in relation to the respective listing.
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公开(公告)号：US20210374825A1
公开(公告)日：2021-12-02
申请号：US16884392
申请日：2020-05-27
Applicant: eBay Inc.
Inventor： Ramesh Periyathambi , Kishore Kumar Mohan , Selcuk Kopru , Lakshimi Duraivenkatesh , Tomer Lancewicki
IPC: G06Q30/06 , G06F40/40 , G06F16/955
Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for generating relationship data from listing data. A recommendation system accesses a listing posted to an online marketplace that offers an item for sale. The recommendation system identifies, from listing data included in the listing, a different listing posted to the online marketplace that is offering a recommended item for sale. The listing data is entered by a user that posted the listing to the online marketplace. The recommendation system categorizes the recommended item in a category of items that is related to the item. The recommendation system may generate item recommendation based on the category of items that is related to the item, such as an item recommendation identifying the listing offering the recommended item for sale.
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公开(公告)号：US20210097594A1
公开(公告)日：2021-04-01
申请号：US16590018
申请日：2019-10-01
Applicant: eBay Inc.
Inventor： Ramesh Periyathambi , Tomer Lancewicki , Sai Vipin Siripurapu , Lakshimi Duraivenkatesh , Selcuk Kopru
Abstract: Different action user-interface components in a comparison view are described. Initially, a selection is received to display a comparison view via a user interface of a listing platform. Multiple listings of the listing platform are selected for inclusion in the comparison view. A comparison view system determines which action of a plurality of actions, used by the listing platform, to associate with each of the listings. A display device displays the multiple listings concurrently in a comparison view via a user interface of the listing platform and also displays an action user-interface component (e.g., a button) in each of the plurality of listings. The action user-interface component is selectable to initiate the action associated with the respective listing. In accordance with the described techniques, the action user-interface component displayed in at least two of the multiple listings is selectable to initiate different actions in relation to the respective listing.
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Patent Agency Ranking
公开(公告)号：US12112364B2
公开(公告)日：2024-10-08
申请号：US17870331
申请日：2022-07-21
Applicant: eBay Inc.
Inventor： Ramesh Periyathambi , Tomer Lancewicki , Sai Vipin Siripurapu , Lakshimi Duraivenkatesh , Selcuk Kopru
IPC: G06Q30/06 , G06N20/00 , G06Q30/0601 , G06Q30/08
CPC classification number: G06Q30/0629 , G06N20/00 , G06Q30/0643 , G06Q30/08
Abstract: Different action user-interface components in a comparison view are described. Initially, a selection is received to display a comparison view via a user interface of a listing platform. Multiple listings of the listing platform are selected for inclusion in the comparison view. A comparison view system determines which action of a plurality of actions, used by the listing platform, to associate with each of the listings. A display device displays the multiple listings concurrently in a comparison view via a user interface of the listing platform and also displays an action user-interface component (e.g., a button) in each of the plurality of listings. The action user-interface component is selectable to initiate the action associated with the respective listing. In accordance with the described techniques, the action user-interface component displayed in at least two of the multiple listings is selectable to initiate different actions in relation to the respective listing.
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公开(公告)号：US20240070734A1
公开(公告)日：2024-02-29
申请号：US18388013
申请日：2023-11-08
Applicant: eBAY Inc.
Inventor： Tomer Lancewicki , Ramesh Periyathambi
IPC: G06Q30/0283 , G06N20/00 , G06Q30/0201 , G06Q30/0601
CPC classification number: G06Q30/0283 , G06N20/00 , G06Q30/0206 , G06Q30/0619
Abstract: A method of training a machine learning model to determine an item margin is provided. The method includes monitoring a first value for a first item having attributes and monitoring a first value for a second type of item having attributes where an attribute of the first attributes is the same as an attribute of the second attributes. The method also includes determining a first margin based on the first values. The first attributes, the second attributes, and the first margin are input as training data for the machine learning model where the machine learning model is trained with the training data. The monitoring operations for the first item and the second item are repeated to obtain a second value for the first and second items. Furthermore, the trained machine learning model is applied to the second values to determine a second margin.
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公开(公告)号：US11798070B2
公开(公告)日：2023-10-24
申请号：US16538612
申请日：2019-08-12
Applicant: eBay Inc.
Inventor： Ramesh Periyathambi , Manojkumar Rangasamy Kannadasan , Lakshimi Duraivenkatesh , Sai Vipin Siripurapu
Abstract: Technologies are disclosed herein for distributing information. The disclosed technologies determine an application element configured to receive information that is updated at a variable rate, the information pertaining to an object. Feature data is received that is associated with the object and data associated with use of the application element. The feature data includes a time horizon for the object and supplemental information associated with the object. Based on the feature data and the data associated with use of the application element, a first rate is predicted for sending the information about the object to the application element. The information is sent to the application element at the first rate.
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9.发明申请公开(公告)号：US20220207562A1
公开(公告)日：2022-06-30
申请号：US17700011
申请日：2022-03-21
Applicant: eBay Inc.
Inventor： Ramesh Periyathambi , Manojkumar Rangasamy Kannadasan , Lakshimi Duraivenkatesh , Vineet Bindal , Selcuk Kopru , Tomer Lancewicki
Abstract: Techniques for prefetching operation cost based digital content and digital content with emphasis that overcome the challenges of conventional systems are described. In one example, a computing device may receive digital content representations of digital content from a service provider system, which are displayed on a user interface of the computing device. Thereafter, the computing device may also receive digital content as prefetches having a changed display characteristic as emphasizing a portion of the digital content based on a model trained using machine learning. Alternatively, the computing device may receive digital content as a prefetch based on a model trained using machine learning in which the model addresses a likelihood of conversion of a good or service and an operation cost of providing the digital content. Upon receiving a user input selecting one of the digital content representations, digital content is rendered in the user interface of the computing device.
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公开(公告)号：US20220191267A1
公开(公告)日：2022-06-16
申请号：US17513793
申请日：2021-10-28
Applicant: eBay Inc.
Inventor： Vineet Bindal , Naga Sita Raghuram Nimishakavi Venkata , Ramesh Periyathambi , Lakshimi Duraivenkatesh , Tomer Lancewicki , Selcuk Kopru
Abstract: Systems and methods for processing webpage calls via multiple module responses are described. A system may receive, from a client device, a first call for module data associated with a set of webpage modules for presentation in a webpage. The system may subsequently transmit, to the client device based on receiving the first call, a first response including first module data associated with a first subset of the set of webpage modules. The first response may additionally include a token identifying the webpage. The server may additionally transmit, to the client device based on transmitting the first response, a second response including the token identifying the webpage and second module data associated with a second subset of the set of webpage modules that differs from the first subset of the set of webpage modules.
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