公开(公告)号：US11436655B2

公开(公告)日：2022-09-06

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 ,  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：US20220092608A1

公开(公告)日：2022-03-24

申请号：US17028155

申请日：2020-09-22

Applicant: eBay Inc.

Inventor： Jean-David Ruvini ,  Ramesh Periyathambi ,  Lakshimi Duraivenkatesh

IPC: G06Q30/00 ,  G06Q30/06 ,  G06F40/35

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.

公开(公告)号：US20210200767A1

公开(公告)日：2021-07-01

申请号：US17200153

申请日：2021-03-12

Applicant: eBay Inc.

Inventor： Ramesh Periyathambi ,  Vineet Bindal ,  Naga Sita Raghuram Nimishakavi Venkata ,  Deepti Bhosale ,  Auston McReynolds ,  Andrew Lin ,  Lakshimi Duraivenkatesh

IPC: G06F16/2453 ,  G06F16/957 ,  G06F16/955 ,  G06F16/9535 ,  G06F16/9538

Abstract: Technologies described reduce the amount of time between requesting content and receiving the requested content. In some embodiments, a client provides a search query. A search result page is generated and, prior to returning the search result page to the client, some or all of the search results are asynchronously pre-fetched and cached. The search query can include custom parameters that are also included in the pre-fetch requests. Web addresses in the search results page can be modified to indicate whether a prefetch operation was initiated. Once a user activates one of the search results, the responding web server uses the cached data while generating a response.

公开(公告)号：US20210182904A1

公开(公告)日：2021-06-17

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 ,  G06N20/00 ,  G06N5/04

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.