Ebay, Incorporated

Cloudera, Inc.

Vmware, Inc.

Docusign, Inc.

Vikas Singh

Chang She

Sudhanshu Arora

Scot Fraser Hamilton

Matthew Olson

Sean Gates

Bhupendra G Jain

Philip Zeyliger

Antonio Haro

Satheesh Kumaresan Nair

Mark Donsky

Naren Koneru

Himabindu Vuppula

Muthuramalingam Sundaresan

Kiran Kanchamreddy

Guang Yao Leng

Marcelo Masiero Vanzin

Hui Henry Li

Selcuk Kopru

Robert Frederick Deuel

Ashish K Hanwadikar

Ellis Shui-Man Luk

Christopher Michael Matthews

Margaret MacDonald

Valeri J Yee

Konstantin Orlov

SureshKumar Karuppuchamy

Bhumika Gupta

Avanish Pathak

Bhargav Krishna

Srinivasan Varippyreddy

Kavya Mugadur

Srividya Balasubramanian

Ashok Kumar Ramani

Mark Peterson

Michele Vospette-Kraemer

Pramodh Pochu

Xia Kristine Song

Sushma Sharma

Shiqi Charlie Sun

Techniques are described for deploying software applications associated with document management. The techniques may include a system comprising processing circuitry implemented by one or more processors, the processing circuitry having access to a memory. The processing circuitry may be configured to determine, for a time window, a current version of a widget and a next version of the widget to implement a software application of the one or more software applications. The processing circuitry may further be configured to output instructions to execute the current version of the widget in response to receiving a first request for the software application. The processing circuitry may further be configured to output instructions to execute the next version of the widget based on a number of responses to previous requests that select the current version of the widget.

Phased deployment

An application configured to be dynamically and/or incrementally updated to tailor capabilities of the application to areas of interest of a user is disclosed. The application receives one or more task-specific modules for enhancing a task-specific capability of the application. The one or more task-specific modules are identified from among a plurality of task-specific modules, based on user data indicative of interaction of the user with an electronic marketplace. The one or more task-specific modules are used to update a general module configured to implement the task-specific capability of the application to create a customized application. The customized application is used to perform a task-specific operation based on an input provided by the user, and a result of the task-specific operation to be presented to the user.

Systems and methods for customizing electronic marketplace applications

Various embodiments described herein assist in identifying one or more product items of interest (e.g., high demand product items) based on surge activity, such as user buying surges, user selling surges, and user product listing (e.g., electronic or online listing) surges on an online marketplace system, and can further notify one or more users of selling opportunities of the identified products items of interest.

Identifying product items based on surge activity

Systems and methods for managing a multi-listing combined offer are provided. A networked system receives an indication to add a combination of items from multiple sellers into a virtual cart. In response, the networked system causes presentation of a user interface showing a combination of items from multiple sellers. The networked system receives, from the buyer, a buyer offer price for the combination of items. In response, the networked system accesses, from a data storage, item information for each item of the combination of items, whereby the item information includes a seller identifier, an original item price, and shipping cost for each item. The networked system then generates, based on the accessed item information and the buyer offer price, a split offer price for each seller, whereby the split offer price is a split of the buyer offer price. The split offer price is then presented to each corresponding seller.

Multi-listing combined offer system

According to various exemplary embodiments, an electronic text message is received from a source telephone number, the electronic text message including content describing a product item. A seller of the product item is identified, based on the source telephone number, and the product item is identified, based on the content included in the electronic text message. Thereafter, a draft version of an item listing is automatically generated, where the item listing lists the product item as being for sale by the seller on a marketplace website.

Message based generation of item listings

Systems and methods for customizing electronic

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

Techniques are disclosed for inferring design-time information based on run-time artifacts generated by services operating in a distributed computing cluster. In an embodiment, a metadata system extracts metadata including run-time artifacts generated by services in a distributed computing cluster while processing a workflow including multiple jobs. The extracted metadata is processed to identify entities and entity relationships which can then be used to generate lineage information. Using the lineage information, the metadata system can infer design-time information associated with the workflow. The inferred design-time information can then be utilized to, for example, recreate the workflow, recreate previous versions of the workflow, optimize the workflow, etc.

Design-time information based on run-time artifacts in a distributed computing cluster

Transient computing clusters can be temporarily provisioned in cloud-based infrastructure to run data processing tasks. Such tasks may be run by services operating in the clusters that consume and produce data including operational metadata. Techniques are introduced for tracking data lineage across multiple clusters, including transient computing clusters, based on the operational metadata. In some embodiments, operational metadata is extracted from the transient computing clusters and aggregated at a metadata system for analysis. Based on the analysis of the metadata, operations can be summarized at a cluster level even if the transient computing cluster no longer exists. Further relationships between workflows, such as dependencies or redundancies, can be identified and utilized to optimize the provisioning of computing clusters and tasks performed by the computing clusters.

Design-time information based on run-time artifacts in transient cloud-based distributed computing clusters

Disclosed are systems, methods, and non-transitory computer-readable media for listing conversion estimation and optimization. A listing conversion estimation and optimization system receives a set of listing data for generating a listing of an item for sale on an online marketplace and determines, based on the set of listing data, a likelihood value indicating the likelihood that the listing will result in a sale within a given time period. The listing conversion estimation and optimization system causes presentation of a graphical indicator representing the likelihood value on the display of the listing user's client device.

Listing conversion estimation and optimization

Aspects of the present disclosure include a system comprising a computer-readable storage medium storing at least one program and computer-implemented methods for providing suggestions of additional input to users entering user input into a data input field. In some embodiments, the method includes receiving initial user input entered via a data input field of a user interface rendered on a client device, and identifying a dominant category corresponding to the initial user input. The method further includes identifying a set of aspects corresponding to the dominant category, and selecting, from the set of aspects, a set of aspect suggestions based on a ranking of each aspect in the set of aspects. The method further includes causing display of a suggestion box presented in conjunction with the data input field. The suggestion box comprises a presentation of the set of aspect suggestions.

Smart match autocomplete system

Growing community of inventors

San Jose, CA, United States of America

Vikas Singh