Ebay, Incorporated

Selcuk Kopru

Tomer Lancewicki

Ramesh Periyathambi

Lakshimi Duraivenkatesh

Vineet Bindal

Ellis Shui-Man Luk

Naga Sita Raghuram Nimishakavi Venkata

Valeri J Yee

Hassan Sawaf

Sanjika Hewavitharana

Antonio Haro

Sai Vipin Siripurapu

Huai Jiang

Liangfei Su

Wanxue Li

Vikas Singh

Manojkumar Rangasamy Kannadasan

Justin Nicholas House

Nish Parikh

Chandra Prakash Khatri

Sanjeev Katariya

Sameep Navin Solanki

Hanzhang Wang

Shubhangi Tandon

Christopher Miller

Ashok Kumar Ramani

Kishore Kumar Mohan

SenthilKumar Gopal

Technologies are shown for generating process flow graphs from system trace data that involve obtaining raw distributed trace data for a system, aggregating the raw distributed trace data into aggregated distributed trace data, generating a plurality of process flow graphs from the aggregated distributed trace data, and storing the plurality of process flow graphs in a graphical store. A first critical path can be determined from the plurality of process flow graphs based on an infrastructure design for the system and a process flow graph corresponding to the first critical path provided for graphical display. Certain examples can determine a second critical path involving a selected element of the first critical path and provide the process flow graph for the second critical path for display. Some examples pre-process the aggregated distributed trace data to repair incorrect traces. Other examples merge included process flow graphs into longer graphs.

Graph analysis and database for aggregated distributed trace flows

Systems and methods for processing webpage calls via multiple module responses are described. A system may receive a first call and a second call for module data associated with a plurality of webpage modules for presentation of a webpage at a client device; categorize the plurality of webpage modules according to historical data associated with the client device; responsive to the first call, transmit to the client device a first response comprising a first webpage module corresponding to a first category; and responsive to the second call, transmit to the client device a second response comprising a second webpage module corresponding to a second category, where the first webpage module is transmitted in the first response and the second webpage module is transmitted in the second response based on the categorization.

Multi request asynchronous delegation for enhanced performance

A multimodal embedding modifier generates a modified seed search selection embedding for providing a set of search results. The multimodal embedding modifier enhances the ability and accuracy of identifying a user's true intent when searching the online marketplace. For example, embodiments disclosed herein can allow a user to navigate multiple modalities for an item. In some embodiments, a user may select a search result corresponding to an initial search query, and further modify the selected search result by inputting a modifier (e.g., a textual modifier). The multimodal embedding modifier can be trained using a training dataset including a text embedding, an image embedding, another type of embedding, or a combination thereof.

Deep navigation via a multimodal vector model

Various methods and systems for providing indications of inconsistent attributes of item listings associated in item listing videos. An item listing video—of an item listing—is accessed. The item listing video is accessed via an item listing interface of an item listing system. Extracted item features—via a machine learning engine—of an item from the item listing video, are accessed. The extracted item features are extracted based on listing-interface item features associated with listing the item. The extracted item features of the item are compared to the listing-interface item features of the item. Based on comparing the listing-interface item features to the extracted, an inconsistent attribute—between an extracted item feature and a listing-interface item feature that is associated with listing the item—is identified. An indication of an inconsistent attribute is communicated to cause display of the indication of the inconsistent attribute at the item listing interface.

Item feature accuracy operations and interfaces in an item listing system

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.

Different action user-interface components in a comparison view

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.

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.

Method, system, and medium for network and speed enhancement for distributing unified images via a computer network

Process flow graphs are generated from system trace data by obtaining raw distributed trace data for a system, aggregating the raw distributed trace data into aggregated distributed trace data, generating a plurality of process flow graphs from the aggregated distributed trace data, and storing the plurality of process flow graphs in a graphical store. A first critical path can be determined from the plurality of process flow graphs based on an infrastructure design for the system and a process flow graph corresponding to the first critical path provided for graphical display. Certain examples can determine a second critical path involving a selected element of the first critical path and provide the process flow graph for the second critical path for display. Some examples pre-process the aggregated distributed trace data to repair incorrect traces. Other examples merge included process flow graphs into longer graphs.

A web-based item listing platform provides item listings that users can create or search. Item listings can be generated using structured information extracted while capturing an item listing video of the item. During creation of the item listing video, input prompts are provided to the user that cause a mobile device to provide an input request, such as taking an image of a specific feature of the item or providing some other item description information. During the item listing video, image recognition models may also be employed to determine other item description information, such as the color, the brand, and the like. The item listing can be generated from the item listing video by populating a set of structured data elements associated with an item description type. Each structured data element is populated with the item description information corresponding to the associated item description type.

Extracting structured data from video

A video is provided to viewers using a web-based platform without restricted audio, such as a copyrighted soundtrack. To do so, a video comprising at least two audio layers is received. The audio layers can include separate and distinct audio layers or a mix of audio from separate sources. A restricted audio element is identified in a first audio layer and a speech element is identified in a second audio layer. A stitched text string can be generated by performing speech-to-text on both audio layers and removing the text corresponding to the restricted audio element of the second audio layer. When playing back the video, a portion of the video is muted based on the restricted audio element. A voice synthesizer is employed to generate audible sound during the muted portion using the stitched text string.

Identifying and removing restricted information from videos

According to various embodiments, the Query Context Translation Engine identifies a topic of a search query history received during a current user session. The search query history in a first language. The Query Context Translation Engine identifies, in a translation table, target text that corresponds with a query in the search query history, the target text comprising at least one word. The Query Context Translation Engine obtains at least one search result based on a translation of the target text in a second language.

Dynamic topic adaptation for machine translation using user session context

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.

Automatic tuning of machine learning parameters for non-stationary e-commerce data

A web browser extension identifies graphic objects from images or video being presented by a web browser. Webpages related to the graphic objects are identified. Web links that facilitate navigation to the webpages are embedded over an area of the image corresponding to the identified graphic image. Where the graphic objects are identified within video, the web links are progressively embedded within graphic object boundaries of the graphic object as the graphic objects move locations during progression of the video. In this way, a user is able to interact with graphic objects of images and video to navigate to webpages related to the graphic objects. Some implementations provide a webpage redirect command at a stop point of the video so that the user can interact with graphic objects while the video is playing and without interrupting the video.

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San Jose, CA, United States of America

Selcuk Kopru