Ebay, Incorporated

Vipul C Dalal

Sanjay Pundlkrao Ghatare

Suhail Ansari

Samaneh Abbasi Moghaddam

Rangaraj Keshavamurthy Belur

James Ladd

Jerry Louis

Neelakantan Sundaresan

Muhammad Faisal Rehman

Randall Scott Shoup

Eric Noel Billingsley

Michael Mathieson

Sameep Navin Solanki

Gunshekar Cemballi

Jing Chen

Methods, systems, and apparatus for predicting a status of a transaction are described. Feature data related to one or more transactions is collected and a subset of features is selected for use in predicting the status of the transaction. A model is trained using the collected feature data that corresponds to the selected features, and the model is applied to feature data of a selected transaction to generate a probability of the selected transaction attaining one or more defined statuses. Mitigating or preventive actions are performed based on the generated probability.

Predicting a status of a transaction

A system and method for orchestration of customization for a user experience is disclosed. The system in an example embodiment includes automatically producing user experience customization selections for generating a webpage based on context information and a collection of user activity feedback from a community of users who previously interacted with the webpage. The user experience customization selections include a plurality of modules for inclusion in the web page, where each of the modules represent a user-interface element. One or more of the plurality of modules having input and output properties defining at least one application programming interface (API). The system in a further embodiment includes discovering dependencies between the one or more of the plurality of modules by extracting dependency information from the at least one API associated with the one or more of the plurality of modules. The system in another embodiment includes generating a dependency graph for the webpage based on the dependencies between the one or more of the plurality of modules and invoking the plurality of modules based on the dependency graph to generate the webpage.

System and method for orchestration of customization for a user experience

A system and method for orchestration of customization for a user experience is disclosed. The apparatus in an example embodiment includes identifying a plurality of modules included in a webpage; discovering dependencies between each of the modules of the plurality of modules; designating at least one module of the plurality of modules for retaining dependency state information, the dependency state information including information indicative of states of dependencies between modules of the plurality of modules; and executing the modules of the webpage in an order indicated by the dependency state information.

Described herein are methods and systems for promoting item listings that satisfy a query based on the item listings being assigned to certain categories that have, based on historical click data, exhibited high demand characteristics for the query. Consistent with some embodiments, a certain number of leaf-level categories are identified based on demand data for those categories, and the item listings assigned to those categories are promoted through a weighting factor derived in part based on the click probability score associated with the category. In some embodiments, certain sub-categories may be selected when the demand associated with the child categories of the sub-category is well balanced.

Method and system for ranking search results based on categories

A system and method for context and community based customization for a user experience is disclosed. The apparatus in an example embodiment includes a user experience customizer to gather context information, automatically produce user experience customization selections based on the context information, collect user activity feedback from a community of users, and use the user activity feedback to adjust the user experience customizer to automatically produce user experience customization selections likely favored by a user based on a correlation of the user activity feedback with the context information.

System and method for context and community based customization for a user experience

Methods and systems to learn an optimal user experience. The system receives a request over a network from a user. The request includes context information. The system identifies a response to the request is to be utilized to learn whether a first interface component included in a first plurality of interface components is an optimal choice for a first decision. The response includes an interface. The interface includes the first interface component. The system identifies the response to the request is to be utilized based on the context information. Finally, the system communicates the response over the network to the user.

Growing community of inventors

Sunnyvale, CA, United States of America

Vipul C Dalal