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

IPC: G06Q30/02 ,  G06N20/00

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.

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

IPC: G06Q30/06 ,  G06N20/00 ,  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.

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.

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

IPC: G06Q30/06 ,  G06Q30/08 ,  G06N20/00

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.

公开(公告)号：US11854052B2

公开(公告)日：2023-12-26

申请号：US17396900

申请日：2021-08-09

Applicant: eBay Inc.

Inventor： Tomer Lancewicki ,  Ramesh Periyathambi

IPC: G06Q30/0283 ,  G06N20/00 ,  G06Q30/0601 ,  G06Q30/0201

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.

公开(公告)号：US11521254B2

公开(公告)日：2022-12-06

申请号：US16659092

申请日：2019-10-21

Applicant: eBay Inc.

Inventor： Tomer Lancewicki ,  Selcuk Kopru

IPC: G06Q30/06 ,  G06N20/00 ,  G06F17/16 ,  G06N3/04 ,  G06F40/58

Abstract: Techniques are disclosed for automatically adjusting machine learning parameters in an e-commerce system. Hyperparameters of a machine learning component are tuned using a gradient estimator and a first training set representative of an e-commerce context. The machine learning component is trained using the tuned hyperparameters and the first training set. The hyperparameters are automatically re-tuned using the gradient estimator and a second training set representative of a changed e-commerce context. The machine learning component is re-trained using the re-tuned hyperparameters and the second training set.

公开(公告)号：US11321737B2

公开(公告)日：2022-05-03

申请号：US16713893

申请日：2019-12-13

Applicant: eBay Inc.

Inventor： Ramesh Periyathambi ,  Manojkumar Rangasamy Kannadasan ,  Lakshimi Duraivenkatesh ,  Vineet Bindal ,  Selcuk Kopru ,  Tomer Lancewicki

IPC: G06Q30/02 ,  G06N5/04 ,  G06N20/00

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.

公开(公告)号：US20210295422A1

公开(公告)日：2021-09-23

申请号：US16821583

申请日：2020-03-17

Applicant: eBay Inc.

Inventor： Ramesh Periyathambi ,  Tomer Lancewicki ,  Kishore Kumar Mohan ,  Lakshimi Duraivenkatesh ,  Selcuk Kopru

IPC: G06Q30/06 ,  G06N20/00 ,  G06N5/04 ,  G06F16/9535 ,  G06K9/62 ,  H04L29/08

Abstract: Methods for determining which image of a set of images to present in a search results page for a product are described. Components of a server system may receive a set of images for a set of items associated with a product. Components of the server system may perform image ranking to rank the set of images to identify a representative image of the set of images for the product, based on a user interaction metric of each image of the set of images. The components of the server system may then receive, from a user device, a search query that may be mapped to the product, and the component of the server system may transmit, to the user device, the search results page that includes at least one item of the set of items and the representative image based on the interaction metric of the representative image.

公开(公告)号：US20190156177A1

公开(公告)日：2019-05-23

申请号：US15859239

申请日：2017-12-29

Applicant: eBay Inc.

Inventor： Farah Abdallah ,  Robert Enyedi ,  Amit Srivastava ,  Elaine Lee ,  Braddock Craig Gaskill ,  Tomer Lancewicki ,  Xinyu Zhang ,  Jayanth Vasudevan ,  Dominique Jean Bouchon

IPC: G06N3/00 ,  G06N99/00 ,  G06F17/30 ,  G06F17/27

Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.

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.